Formationbio

<div><h3>About Formation Bio</h3>
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. 
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. 
You can read more at the following links:
<ul>
<li><a href="https://www.formation.bio/blog/our-vision-for-ai-in-pharma" rel="noopener noreferrer ugc" target="_blank">Our Vision for AI in Pharma</a></li>
<li><a href="https://www.formation.bio/licensing-and-pipeline" rel="noopener noreferrer ugc" target="_blank">Our Current Drug Portfolio</a></li>
<li><a href="https://www.formation.bio/technology" rel="noopener noreferrer ugc" target="_blank">Our Technology &amp; Platform</a></li>
</ul>
At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.</div><h3>About the Position</h3>
As a Senior Data Engineer at Formation Bio, you will build the trusted data systems that support clinical operations, drug asset evaluation, business development, analytics, and machine learning through AI Enabled Employees and Agents. You will work across clinical, operational, and third-party data sources to design and operate reliable ingestion pipelines, transformations, data models, and data products.
This role sits at the intersection of Product Engineering, Data Engineering, and Data Science. You will help shape how application data is modeled and exposed, own shared data models and production data products, and prioritize data platform work against clinical and business needs. You will work closely with Product Engineering on application data models and contracts, with Data Science on training datasets and ML use cases, and with human and AI consumers of the data platform.
A data product is not complete merely because it is technically correct or available in a warehouse. It should be understandable to people, usable by applications, useful to Data Science, and structured so AI Enabled Employees and Agents can access it reliably and safely.
<h3>Responsibilities</h3>
<ul>
<li>Design and operate production data systems that ingest clinical, operational, and third-party vendor data into reliable, queryable data products.</li>
<li>Own shared and canonical data models, data contracts, transformations, orchestration, warehouse models, and downstream interfaces.</li>
<li>Partner with Product Engineering on application data models, source-system contracts, APIs, events, and data access patterns.</li>
<li>Partner with Data Science on productionized training datasets, feature pipelines, data interfaces, and ML use cases.</li>
<li>Turn recurring data cleaning, normalization, and transformation work into versioned, tested, observable, and maintainable production pipelines.</li>
<li>Build data products for clinical operations, asset evaluation, Business Development, analytics, machine learning, and AI Enabled Employees and Agents.</li>
<li>Design data products that are semantically clear, discoverable, machine-readable, permission-aware, traceable, and safe to query.</li>
<li>Establish strong data quality, testing, freshness, completeness, lineage, documentation, and observability practices.</li>
<li>Own data governance practices for sensitive and regulated data, including access controls, auditability, traceability, and appropriate data handling.</li>
<li>Participate in support and incident response for data platform issues, including diagnosis, stakeholder communication, remediation, and prevention of recurrence.</li>
<li>Use AI tools, including LLMs and agentic coding systems, to accelerate pipeline development, data modeling, debugging, documentation, and data quality investigation while validating their output.</li>
<li>Contribute to architecture and design reviews, mentor other engineers, and improve the engineering practices used across the organization.</li>
</ul>
<h3>About You</h3>
<ul>
<li>5+ years of relevant data engineering experience building and operating production data systems.</li>
<li>Experience with pharmaceutical, biology, HIPPA or other regulated data core to BioTech is required.</li>
<li>Strong Python and SQL skills, with deep experience in data modeling and warehouse systems, especially Snowflake.</li>
<li>Experience with Dagster as an orchestration systems (or equivalent) transformation tooling such as dbt or an equivalent approach.</li>
<li>Experience with data contracts, schema evolution, data quality testing, observability, lineage, and production incident response.</li>
<li>Experience integrating messy clinical, operational, vendor, or otherwise complex source data.</li>
<li>Working knowledge of Docker, GitHub, and Terraform or OpenTofu sufficient to partner effectively with SRE.</li>
<li>Experience building data products and access patterns for applications, Data Science, analytics, human users, and AI Enabled Employees and Agents.</li>
<li>Strong judgment about when to build reusable platform capabilities versus one-off stakeholder solutions.</li>
<li>Daily fluency with AI tools and the ability to validate generated code, transformations, and data-modeling decisions.</li>
<li>Exceptional collaboration and communication skills across Product Engineering, Data Science, Clinical Operations, Data Management, Business Development, and other non-technical partners.</li>
<li>Experience working within and building validated computerized systems (CSV) is a plus.</li>
</ul>
<hr />
Total Compensation Range: $185,500 - $232,000<div>Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.
<hr />
We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.</div>

Senior Data Engineer

<div><h3>About Formation Bio</h3>
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. 
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. 
You can read more at the following links:
<ul>
<li><a href="https://www.formation.bio/blog/our-vision-for-ai-in-pharma" rel="noopener noreferrer ugc" target="_blank">Our Vision for AI in Pharma</a></li>
<li><a href="https://www.formation.bio/licensing-and-pipeline" rel="noopener noreferrer ugc" target="_blank">Our Current Drug Portfolio</a></li>
<li><a href="https://www.formation.bio/technology" rel="noopener noreferrer ugc" target="_blank">Our Technology &amp; Platform</a></li>
</ul>
At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.</div>About the Position
As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.
Responsibilities
<ul>
<li>Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications</li>
<li>Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas</li>
<li>Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints</li>
<li>Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows</li>
<li>Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints</li>
<li>Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials</li>
<li>Present imaging insights and model performance to executive leadership and external partners</li>
</ul>
About You
Required Qualifications 
<ul>
<li>PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging</li>
<li>5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications</li>
<li>Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis</li>
<li>Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software</li>
<li>Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries</li>
<li>Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions</li>
<li>Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders</li>
</ul>
Preferred Qualifications 
<ul>
<li>Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools</li>
<li>Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)</li>
<li>Knowledge of clinical trial design and experience with imaging core lab operations</li>
<li>Experience with federated learning or privacy-preserving techniques for medical imaging</li>
<li>Understanding of radiomics and quantitative imaging biomarker development</li>
<li>Experience with 3D image reconstruction and volumetric analysis</li>
</ul>
<hr />
Total Compensation Range: $204,500 - $267,000<div>Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.
<hr />
We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.</div>

Principal Data Scientist, Medical Imaging

<div><h3>About Formation Bio</h3>
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. 
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. 
You can read more at the following links:
<ul>
<li><a href="https://www.formation.bio/blog/our-vision-for-ai-in-pharma" rel="noopener noreferrer ugc" target="_blank">Our Vision for AI in Pharma</a></li>
<li><a href="https://www.formation.bio/licensing-and-pipeline" rel="noopener noreferrer ugc" target="_blank">Our Current Drug Portfolio</a></li>
<li><a href="https://www.formation.bio/technology" rel="noopener noreferrer ugc" target="_blank">Our Technology &amp; Platform</a></li>
</ul>
At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.</div>About the Position
As a Senior or Principal Data Scientist on the EHR AI team at Formation Bio, you will build the models that let us learn from real-world data (RWD): electronic health records (EHR) together with claims and other real-world sources. You will work hands-on with longitudinal EHR and claims data to predict how disease progresses, how patients respond to treatment, and which approved drugs change the course of disease. The data spans large-scale, longitudinal EHR from health systems, linked to claims, clinical notes, and imaging, alongside biobank-scale genetic and molecular data. Your results become real-world evidence (RWE) that feeds directly into which drugs we acquire, which indications we pursue, and how we design trials.
This is a hands-on modeling role. You will train and evaluate models, including EHR foundation models, define the cohorts and phenotypes they depend on, and turn results into clear answers for Business Development and R&amp;D, often on tight timelines. On the technology side, you will work closely with Engineering and Product. At the Principal level, you will also lead a workstream end to end and mentor other scientists.
Responsibilities
<ul>
<li>Build, train, and validate predictive models on longitudinal EHR and claims data: disease progression, time-to-event outcomes, and patient-level treatment response</li>
<li>Benchmark and adapt EHR foundation models for patient representation against strong tabular and sequence baselines</li>
<li>Define and validate computable phenotypes and cohorts using the OMOP CDM and standard vocabularies, including features derived from clinical notes</li>
<li>Apply causal methods such as target trial emulation alongside predictive models to surface drugs that modify disease course</li>
<li>Answer EHR and RWE questions from Business Development diligence and R&amp;D programs on days-to-weeks timelines, with explicit statements of uncertainty and bias</li>
<li>Write reproducible, reviewed code and work with Engineering and Product to turn prototypes into reusable tools</li>
<li>Principal level: lead a modeling workstream end to end, set its technical direction, and mentor other scientists</li>
</ul>
About You
Required Qualifications
<ul>
<li>PhD in computer science, biomedical informatics, statistics, epidemiology, or a related quantitative field (required)</li>
<li>2+ years of industry or research experience building machine learning models on EHR data, including linked claims or other real-world data, with substantiated results: peer-reviewed publications, deployed models, or externally validated performance</li>
<li>Strong Python and deep learning expertise, and familiarity with data lakes and distributed compute for large clinical datasets</li>
<li>High comfort with LLMs, including coding agents, as part of your daily work</li>
<li>Working knowledge of how EHR and claims data are generated and structured: encounters, diagnoses, procedures, medications, labs, vitals, clinical notes, coverage periods, and reimbursement records, along with coding practices, missingness, and variation across sites, payers, and countries</li>
<li>Fluency with clinical vocabularies and common data models, including ICD-10 and its national modifications, SNOMED CT, LOINC, RxNorm, ATC, procedure coding systems, and the OMOP CDM</li>
<li>Familiarity with common uses of EHR data and RWE in drug development: phenotyping and cohort definition, trial feasibility and eligibility, natural history, outcome prediction, external control arms, comparative effectiveness, and safety signal detection</li>
<li>Rigorous evaluation habits: temporal and site-held-out validation, calibration, handling of censoring, and prevention of label leakage</li>
<li>Ability to explain technical results clearly to scientific and non-technical stakeholders</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience pretraining, fine-tuning, or rigorously benchmarking EHR foundation models or LLM-based approaches to patient timelines</li>
<li>Causal inference on observational health data: target trial emulation, propensity score methods, instrumental variables, doubly robust or ML-based estimators</li>
<li>Use of LLMs for clinical text, such as phenotyping or information extraction from clinical notes</li>
<li>Experience with OHDSI tools and network studies, or with large linked EHR and biobank resources (e.g., All of Us, UK Biobank)</li>
<li>Experience in pharma, biotech, or health tech applying EHR models to drug development questions</li>
<li>Exposure to health economics and outcomes research (HEOR)</li>
</ul>
<hr />
Total Compensation Range: Senior $185,500 - $232,000; Principal $213,500 - $267,000<div>Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.
<hr />
We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.</div>

Senior / Principal Data Scientist, EHR AI

<div><h3>About Formation Bio</h3>
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. 
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. 
You can read more at the following links:
<ul>
<li><a href="https://www.formation.bio/blog/our-vision-for-ai-in-pharma" rel="noopener noreferrer ugc" target="_blank">Our Vision for AI in Pharma</a></li>
<li><a href="https://www.formation.bio/licensing-and-pipeline" rel="noopener noreferrer ugc" target="_blank">Our Current Drug Portfolio</a></li>
<li><a href="https://www.formation.bio/technology" rel="noopener noreferrer ugc" target="_blank">Our Technology &amp; Platform</a></li>
</ul>
At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.</div>About the Position
As a Senior Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.
Responsibilities
<ul>
<li>Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications</li>
<li>Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas</li>
<li>Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints</li>
<li>Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows</li>
<li>Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints</li>
<li>Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials</li>
<li>Present imaging insights and model performance to executive leadership and external partners</li>
</ul>
About You
Required Qualifications 
<ul>
<li>PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging</li>
<li>5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications</li>
<li>Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis</li>
<li>Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software</li>
<li>Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries</li>
<li>Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions</li>
<li>Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders</li>
</ul>
Preferred Qualifications 
<ul>
<li>Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools</li>
<li>Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)</li>
<li>Knowledge of clinical trial design and experience with imaging core lab operations</li>
<li>Experience with federated learning or privacy-preserving techniques for medical imaging</li>
<li>Understanding of radiomics and quantitative imaging biomarker development</li>
<li>Experience with 3D image reconstruction and volumetric analysis</li>
</ul>
<hr />
Total Compensation Range: $177,500 - $232,000<div>Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.
<hr />
We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.</div>

Senior Data Scientist, Medical Imaging

<div><h3>About Formation Bio</h3>
Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. 
Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. 
You can read more at the following links:
<ul>
<li><a href="https://www.formation.bio/blog/our-vision-for-ai-in-pharma" rel="noopener noreferrer ugc" target="_blank">Our Vision for AI in Pharma</a></li>
<li><a href="https://www.formation.bio/licensing-and-pipeline" rel="noopener noreferrer ugc" target="_blank">Our Current Drug Portfolio</a></li>
<li><a href="https://www.formation.bio/technology" rel="noopener noreferrer ugc" target="_blank">Our Technology &amp; Platform</a></li>
</ul>
At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently.</div>About the Position
As a Senior Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives. 
Responsibilities
<ul>
<li>Lead and execute complex data science projects that directly advance our drug development portfolio </li>
<li>Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification</li>
<li>Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints </li>
<li>Aid in the development and training of AI agents to automate and optimize biomedical workflows </li>
<li>Collaborate cross-functionally with clinical, technical, and research teams </li>
<li>Present complex analytical findings to senior stakeholders, including executive leadership </li>
</ul>
About You
Required Qualifications 
<ul>
<li>PhD in computational sciences or life sciences </li>
<li>3+ years of post-academic experience in life sciences (biotech, pharma, consulting) </li>
<li>Strong programming skills, particularly in Python </li>
<li>Extensive experience in multi-modal bioinformatics analysis </li>
</ul>
Preferred Qualifications 
<ul>
<li>Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases </li>
<li>Strong background in machine learning and deep learning, particularly in biological applications </li>
<li>Experience with large language models (LLM)</li>
<li>Demonstrated ability to collaborate effectively with engineering teams on production systems</li>
<li>Strong communication skills with proven ability to present complex technical findings to senior stakeholders </li>
</ul>
Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate.
Compensation:
The target salary range for this role is: $177,500 - $232,000.
Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you.
You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
<hr />
#LI-hybrid<div>Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills &amp; experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply!
Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.
Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law.
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We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.</div>

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