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Full Time Biotech Data Science Jobs (NOW HIRING)

Figma

Director, Data Science

San Francisco, CA · On-site +1

This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: * Lead, support, and grow a team of data scientists and data science ...

ICON

Director, Feasibility Data Science

Blue Bell, PA · On-site

Significant experience in data science, advanced analytics, biostatistics, or quantitative strategy within CRO, pharmaceutical, biotechnology, healthcare, or clinical research settings. * Track ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology ... We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing ...

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Full Time Biotech Data Science information

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How much do full time biotech data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for full time biotech data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Biotech Data Science vs Full Time Bioinformatics Data Scientist?

AspectFull Time Biotech Data ScienceFull Time Bioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fields; programming skills in Python, RBachelor's or Master's in Bioinformatics, Computational Biology, or related fields; programming skills in Python, R
Work EnvironmentPharmaceutical companies, biotech firms, research labsResearch institutions, biotech companies, healthcare organizations
Industry UsageData analysis, predictive modeling, clinical trial dataGenomic data analysis, sequence alignment, biological data interpretation

Full Time Biotech Data Science focuses on analyzing biological data using data science techniques, often involving clinical and experimental data. Full Time Bioinformatics Data Scientist specializes in interpreting genomic and biological datasets, emphasizing sequence analysis and biological insights. Both roles require similar skills but differ in their primary data types and application areas.

What is a full time biotech data science job?

A Full Time Biotech Data Science job involves using data analysis, statistical modeling, and machine learning techniques to solve problems in the biotechnology field. Professionals in this role work with large biological data sets, such as genomic, proteomic, or clinical data, to derive insights that support research, drug development, or healthcare innovations. They often collaborate with biologists, chemists, and software engineers to develop data-driven solutions for complex biological challenges. This role typically requires a strong background in both life sciences and data science, as well as proficiency with programming languages like Python or R.

What are some common challenges faced by data scientists working in biotech, and how can these be addressed?

Data scientists in biotech often encounter challenges such as handling complex and high-dimensional biological data, integrating heterogeneous data types (like genomic, clinical, and imaging data), and ensuring data quality and reproducibility. Collaborating closely with biologists, clinicians, and other domain experts is crucial for understanding the context and nuances of the data. Continuous learning, leveraging robust data-cleaning pipelines, and using specialized bioinformatics tools can help overcome these obstacles and contribute to impactful discoveries in the biotech field.

What are the key skills and qualifications needed to thrive as a full time biotech data scientist, and why are they important?

To thrive as a Full Time Biotech Data Scientist, you need a solid background in biology or biotechnology, advanced statistical analysis, and programming skills (such as Python or R), typically supported by a relevant degree (e.g., bioinformatics, computational biology, or data science). Familiarity with bioinformatics tools, machine learning frameworks, and database management systems is essential, along with experience using platforms like TensorFlow, scikit-learn, or SQL. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable effective extraction, analysis, and interpretation of complex biological data, driving innovative solutions and impactful research in biotech environments.
More about Full Time Biotech Data Science jobs
What cities are hiring for Full Time Biotech Data Science jobs? Cities with the most Full Time Biotech Data Science job openings:
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Full Time Biotech Data Science jobs near you
Infographic showing various Full Time Biotech Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Associate Director, Data Science

Rhythm Pharmaceuticals

Boston, MA • On-site

$64K - $64K/yr

Full-time

Posted 25 days ago

Job description

Company Overview
Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together.
Opportunity Overview
We are seeking a highly motivated Associate Director of Data Science within Rhythm's Research group and the Data Sciences Team in support of our clinical, regulatory, and scientific objectives in the rare neuroendocrine/obesity/metabolic disease. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for implementing advanced AI data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic areas. A core focus of this position will be the development and implementation of algorithmic phenotyping approaches using electronic medical records (EMR) and real-world datasets, enabling robust patient stratification, cohort definition, and integration with genomics and biomarker data. This position is ideal for a technically strong investigator who thrives in a fast-paced environment and is motivated to apply and scale high-impact data science infrastructure alongside a growing team.
Responsibilities and Duties
  • Design and deploy AI-driven, agent-based phenotyping pipelines that leverage EMR/EHR and real-world data to define disease cohorts, endpoints, and longitudinal outcomes.
  • Develop scalable approaches for cohort identification, feature extraction, and phenotype validation, including rule-based and machine learning methods.
  • Maintain high-throughput rare variant curation and classification models.
  • Execute the design, development, and deployment of data analysis pipelines, statistical models, and predictive tools to support Genetics-led programs.
  • Lead hands-on integration of clinical, EMR, genomics, and biomarker datasets, enabling multi-modal analyses.
  • Build and maintain reproducible workflows for data ingestion, harmonization (e.g., coding systems, ontologies), QC, and analysis (SQL, Python, R).
  • Apply statistical genetics and advanced analytics to link phenotypic definitions with genetic signals, including rare variant analyses.
  • Drive improvements in data infrastructure and phenotyping frameworks to support team expansion and increased dataset complexity.

Qualifications and Skills
  • Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field.
  • ~5+ years of relevant experience in biotechnology, pharmaceuticals, or healthcare analytics.
  • Experience with neuroendocrine, obesity/metabolic-related biology and datasets.
  • Experience applying machine learning and AI models to real-world and clinical datasets, including model development, evaluation, and deployment in production or near-production settings.
  • Experience developing or utilizing AI-driven agents/workflows to automate data extraction, phenotyping, analysis, or knowledge generation tasks.
  • Strong hands-on expertise in SQL, Python, and R, with experience building production-quality data pipelines.
  • Experience with cloud computing and storage environments including AWS, GCP, Snowflake.
  • Demonstrated experience with variant calling pipelines, variant interpretation and ACMG rare variant classification.
  • Demonstrated experience in EMR/EHR and real-world data analysis (e.g., UK Biobank, All of Us) including cohort building and longitudinal data modeling.
  • Proven track record in algorithmic phenotyping, including use of coding systems (ICD, CPT, SNOMED), clinical ontologies, and feature engineering.
  • Familiarity with broader bioinformatics/multi-omics methodologies including RNA-seq, methylation analysis, long-read sequencing would be advantageous.
  • Strong problem-solving skills and ability to operate independently in a fast-paced, execution-focused environment.
  • Excellent communication skills with the ability to clearly present complex analytical outputs to technical stakeholders.

This role can be remote or based out of our corporate office in Boston, Massachusetts. Rhythm operates in a hybrid-work model. Candidates applying must be willing and able to be in the Boston office in coordination with their department and business needs. This role may involve some travel.
More about Rhythm
We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause. Our team is passionate about expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism.
At Rhythm our core values are:
  • We are committed to advancing scientific understanding to improve patients' lives
  • We are inspired to tackle tough challenges and have the courage to ask bold questions
  • We are eager to learn and adapt
  • We believe collaboration and ownership are foundational for our success
  • We value the unique contribution each individual brings to furthering our mission

Inherent in our core values is the commitment to act ethically and with integrity in all we do.
Rhythm is an equal employment opportunity employer and does not discriminate against any applicant because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, disability, genetic information, veteran status, military status, application for military service, or any other class protected by state or federal law.
Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts.

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