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Biotech Data Science Jobs in Pennsylvania (NOW HIRING)

Head of AI Clinical Excellence

Collegeville, PA ยท On-site

$79K - $108K/yr

PhD in Life Sciences, Clinical Research, Data Science, Biostatistics, Computer Science, Engineering, or related field and 5+ years of relevant experience within pharmaceutical, biotechnology, CRO ...

$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 ...

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... This independent contributor role will own hands-on execution and data-driven development of ...

Legend Biotech is seeking a Scientist as part of the R&D Leadership Development Program based in ... Strong experimental design, data analysis, troubleshooting, and problem-solving skills. * Excellent ...

$110K - $145K/yr

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Analyze and interpret data, troubleshooting, present to and engage internal stakeholdersMaintain ...

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Synthesize complex experimental datasets into clear, structured data packages and deliver evidence ...

$110K - $145K/yr

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Analyze and interpret data, troubleshooting, maintain detailed experimental records. RequirementsA ...

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Generate, manage, evaluate, and maintain critical data in a highly organized manner, including the ...

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... This independent contributor role will own hands-on execution and data-driven development of ...

Sr. Scientist

Philadelphia, PA ยท On-site

$92K - $126K/yr

Legend Biotech is a global biotechnology company dedicated to treating and, one day, curing life ... Generate, manage, evaluate, and maintain critical data in a highly organized manner, including the ...

Showing results 21-40

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 5, 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.

Molecular Biology Scientist/Senior Associate Scientist

Legend Biotech US

Philadelphia, PA โ€ข On-site

Full-time

Re-posted 13 days ago


Key responsibilities

  • Execute viral vector plasmid and helper plasmid design and construction to support gene overexpression, knock-down, and knock-out studies independently.

  • Perform molecular cloning workflows, generate and characterize engineered mammalian cell lines, and evaluate vector performance using molecular and cellular assays.

  • Maintain accurate records, support small-scale vector production, and collaborate on tech transfer activities.


Job description

Legend Biotech is seeking a Molecular Biology Scientist/Senior Associate Scientist as part of the Research & Early Development team based in Philadelphia, PA.

Role Overview

Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threateningย diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverseย array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptorย (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we applyย these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics forย patients worldwide.

Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabta gene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of immunotherapy in the treatment of multiple myeloma.

Legend Biotech seeks a motivated molecular biologist to join the Vector Biology team in Philadelphia, supporting lentiviral vector (LVV) design, construction, and functional evaluation, as well as engineered cell line development to enable CAR-T and other cell therapy programs. This role emphasizes reliable experimental execution, timely delivery of materials, and clear data communication.

Key Responsibilities

  • Execute viral vector plasmid and helper plasmid design and construction to support gene overexpression, knock-down, and knock-out studies independently.
  • Perform routine molecular cloning workflows and ensure plasmid quality meets established QC standards for vector production.
  • Maintain accurate plasmid records including sequence files, maps, inventory/locations and support internal construct requests in partnership with other cross-functional teams.
  • Generate and characterize engineered mammalian cell lines for transient or stable viral vector production, single-cell cloning, cell engineering, and basic characterization.
  • Perform mammalian cell culture and transient transfection under BSL-2 conditions.
  • Support small-scale vector production using suspension cell lines for early development activities.
  • Execute molecular/cellular assays to evaluate vector performance using qPCR/dPCR, ELISA/Western Blot, and flow cytometry.
  • Analyze data, summarize results, present clear experiment conclusions, escalate issues, and propose next steps to project leads.
  • Adhere to BSL-2 biosafety standards and Legend policies, maintaining accurate and compliant electronic lab notebooks and documentation.
  • Collaborate cross-functional support tech transfer activities as needed.
  • Independently plans day-to-day execution within project goals, recommends optimizations and next experiments.

Requirements

  • Scientist: M.S. with 5+ years or Ph.D. with 0-2 years in a related field; hands-on molecular cloning, cell engineering and mammalian cell culture required.
  • Hands-on experience in molecular biology techniques (cloning, plasmid prep, sequence analysis and construct verification).
  • Experience with mammalian cell culture and transient transfection; familiarity with BSL-2 practices and documentation.
  • Experience generating engineered cell lines (stable expression and/or CRISPR KO/KI) including cloning and basic screening (Scientist preferred).
  • Exposure to viral vector production and/or viral vector workflows (LVV preferred).
  • Experience with titering and functional readouts (e.g., transduction efficiency and gene expression).
  • Experience with qPCR/dPCR, flow cytometry, Western blot, and ELISA for tittering and functional assays.
  • Strong ELN documentation, sample tracking, and ability to follow protocols/SOPs with attention to detail.
  • Adaptable to a fast-paced environment; effective prioritization, collaboration, and communication.
  • CRISPR/Cas gene editing for KO/KI or multiplexed cell lines.
  • Familiarity with viral vector process development concepts (upstream and/or downstream).
  • Exposure to NGS or Nanopore sequencing for vector or genome characterization.
  • Tech transfer and/or CMC documentation experience (nice to have).
  • Organized and detail-oriented; able to manage multiple experiments/projects.
  • Analytical and problem-solving skills to troubleshoot and implement improvement.
  • Collaborative; able to work effectively within a team environment.
  • Maintain accurate ELN, sample tracking, and inventory records.
  • Clear written and verbal communication for documentation and data presentation.

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