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Biotech Data Science Jobs (NOW HIRING)

Trinity Life Sciences

... Sciences, or related field * CDMP (Certified Data Management Professional) or DCAM (Data Capability Assessment Model) certification preferred * Minimum 5+ years in pharmaceutical or biotech data ...

Kellton

Imaging Data Scientist

Johnston, IA · On-site

$75/hr

Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones. * Maintain IP & data stewardship practices consistent ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · 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 ...

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · 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 ...

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 ...

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 ...

Amgen

Sr. Data Scientist - Process Modeling

Houston, TX · On-site

... data science. * 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) * Experience with AGILE software development methodologies * Experience with ...

Amgen

Sr. Data Scientist - Process Modeling

Chicago, IL · On-site

... data science. * 3+ years of work experience in biotechnology role (e.g. process engineer, scientist, data scientist) * Experience with AGILE software development methodologies * Experience with ...

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Biotech Data Science information

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$37.5K

$122.7K

$196.5K

How much do biotech data science jobs pay per year?

As of Jul 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.

Can data scientists make $300k?

Biotech data scientists can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and bioinformatics, and working in senior or specialized roles. Compensation varies based on location, company size, and individual expertise, with some senior-level positions reaching or exceeding this salary level.

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.

What are the key skills and qualifications needed to thrive in the Biotech Data Science position, 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 is a biotech data scientist?

A biotech data scientist analyzes biological and medical data to support research and development in the biotechnology industry. They use skills in statistics, programming, and machine learning, often working with tools like Python, R, and SQL to interpret complex datasets and inform decision-making.

What is a Biotech Data Science job?

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.

How can data science be used in biotechnology?

Biotech data scientists analyze large biological datasets to identify patterns, develop predictive models, and optimize processes such as drug discovery, genetic research, and personalized medicine. They use tools like machine learning, statistical analysis, and bioinformatics software to support research and development efforts in biotechnology companies and labs.

Can a biotechnologist become a data scientist?

A biotechnologist can become a data scientist by acquiring skills in programming, statistics, and machine learning, often through additional training or education such as online courses or advanced degrees. Their background in biology and laboratory data can provide a strong foundation for analyzing complex datasets in data science roles within biotech and healthcare industries.
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Biotech Data Science jobs near you
Director, Commercial Data Management

Director, Commercial Data Management

Trinity Life Sciences

On-site

Full-time

Posted 6 days ago

Job description

We're committed to bringing passion and customer focus to the business.
Director, Management Advisor, Commercial Data Management
Position Summary
The Director, Management Advisor, Commercial Data Management Solution will lead strategic initiatives that transform how bio-pharmaceutical companies manage their commercial data ecosystems. Reporting to the Vice President of Commercial Data Management Solution, you'll combine business acumen with technical expertise to deliver high-impact benchmarking and advisory services that drive competitive advantage for our clients.
Essential Functions
In this influential role, you'll partner with operational leaders to assess current capabilities, identify optimization opportunities, and develop roadmaps for data-driven excellence. You'll leverage industry benchmarks, best practices, and innovative solutions to help clients navigate complex commercial data challenges across sales, marketing, market access, medical affairs, and patient support functions. Your leadership will elevate TGaS's reputation as the industry's premier data management advisory firm.
Primary Responsibilities
Lead Client Benchmark Engagements (25%)
  • Execute end-to-end benchmarking projects from discovery through delivery, including stakeholder interviews with functional leaders, executives, and operational teams
  • Synthesize quantitative and qualitative data (headcount, budgets, processes, infrastructure, skill sets) to develop comparative analysis against peer organizations and best practice benchmarks
  • Produce actionable benchmark reports with specific, measurable recommendations that address clients' current operational challenges and future-state capabilities
  • Identify cross-functional opportunities to expand engagement scope across TGaS solutions (e.g., Commercial Org Design, Operations, Talent Management)
  • Facilitate strategic workshops and planning sessions that translate benchmark insights into implemented operational improvements

Provide Strategic Advisory Services (60%)
  • Serve as a trusted advisor on Commercial Data Management strategy, providing expert guidance on data governance, platform selection, team structure, and capability development
  • Support urgent client requests with timely, high-quality insights and recommendations
  • Conduct regular business reviews to align TGaS advisory services with evolving client objectives and maximize value realization
  • Design and administer targeted surveys (e.g., VHow network assessments) to gather market intelligence and benchmark competitive positioning
  • Develop and deliver compelling content for client summits, webinars, and industry events that establish TGaS thought leadership
  • Continuously refine advisory methodologies and share lessons learned across the TGaS advisor community

Drive Business Development & Innovation (15%)
  • Identify unmet client needs during ongoing engagements and propose solutions leveraging TGaS's full portfolio and external partnerships
  • Capture market intelligence and client feedback to inform new service offerings and enhance existing solutions
  • Co-develop revenue-generating solutions that align with bio-pharmaceutical industry trends and client priorities
  • Position TGaS as an innovation partner, consistently expanding the breadth and depth of value delivered

Position Requirements
  • Bachelor's degree in Data Management, Data Science, Computer Science, Business Analytics, Life Sciences, or related field
  • CDMP (Certified Data Management Professional) or DCAM (Data Capability Assessment Model) certification preferred
  • Minimum 5+ years in pharmaceutical or biotech data management, with demonstrated expertise in commercial operations
  • Proven success leading client-facing consulting engagements, advisory projects, or benchmark initiatives
  • Deep understanding of Commercial Data Management functions, including roles, responsibilities, systems, and best practices
  • Hands-on experience with commercial data platforms and tools (e.g., Master Data Management systems, CRMs, CDPs, Data Lakes)
  • Demonstrated proficiency with analytics platforms and BI dashboards
  • Strong command of data governance frameworks, data lifecycle management, and regulatory requirements (US, EU, APAC)
  • Ability to design and manage complex data ecosystems; experience overseeing cross-functional teams and vendor relationships preferred
  • Excellent project management skills with demonstrated ability to prioritize competing demands and deliver on time
  • Experience with international or geographically distributed data operations a plus
  • Exceptional communication skills; ability to distill complex data management topics for C-suite and operational audiences
  • Consultative mindset with strong relationship-building capabilities and a track record of long-term client partnerships
  • Demonstrated business acumen and entrepreneurial approach to identifying growth opportunities
  • Comfort working across cultures and geographies; willingness to travel up to 25% domestically).

The following traits and characteristics are provided for additional insight into working at TGaS. TGaS professionals are:
  • Excellence-Focused: You deliver polished, well-researched work developed to the highest standards, understanding that client success drives our growth
  • Ownership-Oriented: You take personal accountability for outcomes and proactively drive initiatives without requiring oversight
  • Entrepreneurial: You bring an owner's mindset, identifying opportunities and taking initiative in client interactions and internal projects
  • Organized & Reliable: You successfully balance multiple concurrent engagements, client delivery, business development, and coaching responsibilities
  • Authentic: You communicate with honesty and directness, providing constructive feedback in a professional manner
  • Continuous Learner: You're passionate about expanding your knowledge and leveraging insights from diverse clients to benefit your practice

About Trinity
Trinity powers the future of life sciences commercialization through the fusion of human and artificial intelligence. By blending deep therapeutic expertise and trusted human ingenuity with a purpose-built technology platform, Trinity accelerates clarity and confidence at every step of the commercialization journey-from pre-launch to scale to loss of exclusivity. For more than 30 years, the world's leading pharmaceutical, biotech, and medtech companies have relied on Trinity's foresight, execution, and partnership to deliver confident product launches, decisive market advantage, and measurable patient impact. During that time, Trinity expanded from its first office in Waltham, MA to 1,300 professionals across 14 offices and five continents, setting new industry standards in quality, responsiveness, and client partnership. For more information, visit Trinity at www.trinitylifesciences.com.
Trinity's salary bands account for a wide range of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. The base salary range for this role is $165k-$185k per year. Compensation is determined based on factors such as the candidate's skills, experience, job-related education and training, location, and internal equity. In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.
Trinity's Commitment to Inclusion & Engagement (I&E)
Trinity Life Sciences is an equal opportunities employer and welcome applications from all qualified individuals. At Trinity, inclusion and engagement are at the heart of how we work and grow together. We've evolved from a traditional "DEI" framework to Inclusion & Engagement (I&E)-a model that moves beyond representation to focus on connection, collaboration, and shared purpose. Every role at Trinity plays a part in fostering an environment where all employees feel valued, respected, and empowered to contribute fully. By embedding I&E principles into our culture, we ensure that belonging and engagement are not standalone initiatives-they are part of how we build teams, make decisions, and deliver excellence every day. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities. For more information about Trinity's commitment to Inclusion and Engagement please visit Inclusion & Engagement | Culture of Belonging at Trinity Life Sciences

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