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Biotech Data Science Jobs (NOW HIRING)

Head of Clinical Data Science Location Boston Massachusetts Our client a major global ... At least 15 years of leadership experience within the biotech or pharmaceutical industry. Extensive ...

Data Scientist

Santa Cruz, CA ยท On-site

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Data Scientist

Santa Cruz, CA ยท Remote

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

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

MSAT Data Science Engineer

Newark, CA ยท 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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How much do biotech data science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for 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 a biotech data science?

A Biotech Data Science job involves analyzing complex biological and pharmaceutical data to drive research, innovation, and decision-making. Professionals in this field use machine learning, statistical modeling, and bioinformatics tools to extract insights from genomics, clinical trials, and drug discovery datasets. They collaborate with scientists, engineers, and healthcare professionals to improve treatments, develop new therapies, and optimize bioprocesses. Strong programming skills, domain knowledge in biology or biotechnology, and expertise in data analysis are essential for success in this role.

What are the key skills and qualifications needed to thrive in biotech data science, and why are they important?

To thrive in Biotech Data Science, you need a solid background in biology or biotechnology, strong statistical and analytical skills, and experience with data analysis languages like Python or R. Familiarity with bioinformatics tools, sequencing platforms, and data visualization software is often expected, with certifications in data science or related fields considered a plus. Excellent problem-solving, communication, and collaboration skills are essential when working across multidisciplinary teams. These competencies enable effective interpretation of complex biological data, driving innovation and insights in the biotech industry.

What are the most common challenges faced by professionals in biotech data science roles?

One of the primary challenges in Biotech Data Science is working with large, complex, and sometimes incomplete biological datasets, which require advanced analytical approaches and careful data curation. Professionals often need to stay current with rapidly evolving technologies and methods, which can be demanding but also rewarding for those who enjoy continuous learning. Collaboration with scientists, engineers, and regulatory teams is common, so adapting communication styles and translating technical findings to diverse audiences is key. Overcoming these challenges leads to meaningful scientific discoveries and significant career growth opportunities.

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Infographic showing various Biotech Data Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Compliance Data Science Consultant

Chicago, IL โ€ข On-site

Ropes & Gray LLP
Law Firmsย โ€ขย 1 - 5K employees

Other

Posted yesterday

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Job description

About Ropes & Gray

Ropes & Gray is a preeminent global law firm. The firm has been ranked in the top three on The American Lawyer's prestigious A-List for eight consecutive years and #1 on Law.com's UK A-List twice in the past three years - rankings that honor the "best of the best" law firms.

About Ropes & Gray

The firm has approximately 2,500 lawyers and professionals serving clients in major centers of business, finance, technology, and government in Boston, Chicago, Dublin, Hong Kong, London, Los Ang le, Milan, New York, Paris, San Francisco, Seoul, Shanghai, Silicon Valley, Singapore, Tokyo and Washington, D.C.

The firm has consistently been recognized for its leading practices in many areas, including asset management, private equity, M&A, finance, real estate, tax, antitrust, life sciences, health care, intellectual property, litigation & enforcement, privacy & cybersecurity, and business restructuring.

Ropes & Gray is an equal opportunity employer.

Overview

The Compliance & Data Science Consultant supports the Labโ€™s compliance advisory and data analytics service lines by combining substantive regulatory knowledge with quantitative and computational skill. The incumbent in the role will contribute to client-facing compliance assessments, portfolio monitoring engagements, and data-driven risk analytics projects.

ResponsibilitiesCompliance Program Advisory
  • Support the design, implementation, and evaluation of client compliance programs.
  • Conduct compliance risk assessments, gap analyses, and portfolio monitoring reviews under senior Lab supervision.
  • Assist with substantive regulatory analysis in areas including sanctions, anti-bribery and corruption, and sector-specific frameworks.
  • Prepare client-ready deliverables including assessment reports, program design recommendations (including policy revisions), and remediation roadmaps.
  • Continue to develop AI-driven workflows to derive efficiency on PE monitoring and compliance advisory work.
Data Science & Analytics
  • Develop and execute data analytics workflows for compliance monitoring, risk stratification, and regulatory reporting engagements.
  • Apply statistical methods, data visualization, and computational techniques to identify patterns, anomalies, and risk indicators in client datasets.
  • Contribute to the Labโ€™s data governance advisory offerings, including data mapping, classification frameworks, and quality assurance protocols.
  • Support the integration of AI and machine learning tools into compliance workflows, including prompt engineering, output validation, and tool evaluation.
Cross-Functional
  • Collaborate with the existing data science consultant on projects requiring both regulatory context and quantitative execution, serving as the compliance-substance bridge.
  • Assist with business development by creating and maintaining proposal content, scoping documents, and assisting with through leadership at the compliance/analytics intersection.
  • Maintain active engagement with professional communities (e.g., SCCE, SCCE Data Analytics Working Group) to inform service line development.
The Person

This is a career opportunity for a curious, analytical, and practical problem-solver who can connect regulatory requirements with data-driven approaches. Youโ€™ll bring sound judgment, energy, and creativity to client engagements and help translate complex compliance and analytical concepts into clear, actionable advice for attorneys, clients, and other stakeholders.

Youโ€™ll be comfortable working across disciplines and learning quickly in a dynamic, entrepreneurial environment. Youโ€™ll need to communicate clearly, collaborate with lawyers and data scientists, take ownership of your work, and be confident contributing ideas while developing toward independent engagement management.

Qualifications
  • Bachelorโ€™s degree required.
  • Three to five years of professional experience in compliance, regulatory consulting, or a related advisory role within healthcare, banking/investment management, or biotech/pharmaceutical industries.
  • Demonstrated applied experience in data science, data analytics, or quantitative risk analysis (academic or professional).
  • Foundational knowledge of compliance program structure, including the DOJ Evaluation of Corporate Compliance Programs framework or equivalent regulatory guidance.
  • Substantive familiarity with at least two of the following: sanctions screening, anti-bribery/FCPA compliance, data governance, or regulatory risk modeling.

Proficiency with analytical tools such as Python, R, SQL, or comparable platforms; comfort working with structured and unstructured datasets.

Compensation And Total Rewards Package

The Ropes & Gray Insights Lab is proud to offer a comprehensive Total Rewards package to employees. The firm also offers comprehensive health and well-being benefits, personal and professional development, career growth opportunities, and a collegial and supportive culture. The anticipated pay range for this role is $150,000 - $200,000, which represents our good faith and reasonable estimate of the starting salary range at the time of posting. In addition, this role is eligible for a discretionary bonus based on performance. The actual offered rate for this position will be determined based on job-related, non-discriminatory factors, including qualifications and experience, geographic location, education, external market data, and consideration of internal equity.

Working Conditions

This position requires hybrid on-site presence as an essential function of the role. Consistent and predictable on-site presence is required for ongoing business continuity, professional development and effective collaboration with colleagues and management.

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