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Biotech Data Science Jobs in Pennsylvania (NOW HIRING)

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

... data interpretation. They will be responsible for clinical science deliverables from Krystal ... Krystal Biotech, Inc. does not accept unsolicited headhunter and agency resumes. Krystal Biotech ...

Sr. Scientist, Toxicology

Philadelphia, PA · Hybrid

$92K - $126K/yr

Legend Biotech is seeking a Sr. Scientist, Toxicology as part of the Early Drug Development team ... Support integrated interpretation of toxicology and pharmacology data to enable candidate selection ...

Sr. Scientist, Toxicology

Philadelphia, PA · On-site

$92K - $126K/yr

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Support integrated interpretation of toxicology and pharmacology data to enable candidate selection ...

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Biotech Data Science information

See Pennsylvania salary details

$37.6K

$123K

$197K

How much do biotech data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for biotech data science in Pennsylvania is $123,033.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,700.00 and $136,300.00 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.

What are the most commonly searched types of Biotech Data Science jobs in Pennsylvania?

The most popular types of Biotech Data Science jobs in Pennsylvania are:

What are popular job titles related to Biotech Data Science jobs in Pennsylvania?

For Biotech Data Science jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Biotech Data Science jobs in Pennsylvania look for?

The top searched job categories for Biotech Data Science jobs in Pennsylvania are:

Infographic showing various Biotech Data Science job openings in Pennsylvania as of August 2026, with employment types broken down into 52% Full Time, 18% Part Time, 10% Temporary, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,033 per year, or $59.2 per hour.

Director, Feasibility Data Science

Icon plc

Blue Bell, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Job description

Director SSU

ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster.


As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers.


ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development.

We are currently seeking a Director, FSA Data Science (Feasibility Site Activation) to drive advanced analytics and business transformation across ICON's Feasibility, Study Start-up and Activation (FSA) teams. In this role, you will lead the design and delivery of advanced analytics and data science capabilities that support clinical trial feasibility, protocol optimization, study planning, country and site strategy, enrollment forecasting, and related decision support across the clinical development lifecycle. Partnering with cross-functional leaders, you will translate complex clinical and operational questions into scalable analytical solutions, reusable methods, and decision-ready insights. This position also involves leading a high-performing team, shaping analytical standards and governance, and advancing a modern, technology-enabled approach to study planning and feasibility.

What you will be doing

  • Leading and inspiring a data science team to deliver actionable insights that improve performance, quantify value, and enable smarter decisions.

  • Building a strategic analytics roadmap and deliver high-impact solutions-forecasting, risk prediction, scenario planning, and optimization to improve cycle time and outcomes.

  • Establishing best practices for analytics delivery, governance, and model lifecycle management to support scalable and reliable insights.

  • Improving data foundations by collaborating with platform and data teams-strengthening data quality, access, definitions, and automation.

  • Partnering with functional leaders to define problems, shape solutions, and embed insights into day-to-day decision-making and operational processes.

  • Communicating with clarity and influence-turning complex analysis into compelling narratives and recommendations leadership and sponsors.

Your profile

  • Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, Mathematics, Epidemiology, Operations Research, Biomedical Informatics, Engineering, or a related field.

  • Advanced degree preferred, preferably Master's or PhD in a quantitative, computational, or health-related discipline.

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

  • Track record of delivering advanced analytics solutions that changed business performance, ideally in complex operational environments.

  • Experience leading teams and developing talent; comfortable coaching, setting direction, and building a high-performing culture.

  • Strong knowledge of statistical analysis, predictive modeling, machine learning, simulation, optimization, and data interpretation.

  • Proficiency in relevant analytical and programming tools such as Python, R, SQL, and related platforms.

  • Confident stakeholder partner with exceptional communication skills and the ability to influence across functions and levels.


Employment with ICON is contingent upon having the legal right to work in the country where the role is based.


Rewards & Benefits

ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development.


Benefits may include:

  • Competitive base salary and performance related incentives
  • Health and wellbeing programmes including medical, dental, and vision coverage where applicable
  • Retirement and pension plans
  • Life assurance and disability coverage
  • Employee assistance programmes and wellbeing resources
  • Learning and development opportunities through structured training and career pathways

Benefits may vary depending on role and location.


Visit our careers site to read more about the benefits ICON offers.


Inclusion and Accessibility

ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported.


If you require reasonable accommodations during the recruitment process, please let us know or submit a requesthere.

Are you a current ICON Employee? Please click here to apply