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Biotech Data Science Jobs in Pennsylvania (NOW HIRING)

... science fields with data management experience. Advanced degree preferred. * Minimum 5-8 years of clinical data management experience in biotechnology, pharmaceutical, medical device, diagnostics, or ...

Deep understanding of pharmaceutical, biotech, or medical device business models and regulatory ... Whether you're diving into Generative AI, data science, or sustainability, our digital campus ...

Sr. Scientist

Philadelphia, PA · On-site

$92K - $126K/yr

Legend Biotech is seeking a Sr. Scientist as part of the Research & Development team based in ... Generate, manage, evaluate, and maintain critical data in a highly organized manner, including the ...

Legend Biotech is seeking a Scientist as part of the Research and Development team based in ... This independent contributor role will own hands-on execution and data-driven development of ...

$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 ...

New

Quality Control Analyst I

Pittsburgh, PA · On-site

$23.25 - $31.25/hr

Review analytical data generated and notification to management if data is outside the prescribed ... scientific writing, other written and oral communication skills are required. Krystal Biotech, Inc ...

Quality Control Analyst I

Pittsburgh, PA · On-site

$23.25 - $31.25/hr

Review analytical data generated and notification to management if data is outside the prescribed ... scientific writing, other written and oral communication skills are required. Krystal Biotech, Inc ...

Minimum education required: ---- Bachelor's degree in Animal Science, Biology, Biotechnology, Bio-Engineering, Data Science, or a closely related scientific discipline. Required experience and skills ...

Legend Biotech is seeking a Scientist as part of the Research & Development team based in ... 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 ... Generate, manage, evaluate, and maintain critical data in a highly organized manner, including the ...

New

Showing results 41-60

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.

Clinical Data Manager

Agilent

On-site, Remote

Full-time

Re-posted 6 days ago


Agilent Technologies rating

8.5

Company rating: 8.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

33rd of 545 rated manufacturers


Job description

Job Description

We are searching for an experienced Clinical Data Manager to work within thein-vitrodiagnostic field as a key member of the Organization of Chief Medical Officer(OCMO) Global Clinical Affairs team.

The Clinical Data Manager will plan and oversee all data management activities across assigned studies relatedcompaniondiagnostics (CDx) development to ensuretimely,accurate, and compliant data delivery. They will develop data transfer specifications, support the development of data transfer agreements, manage CRF/EDC systems, perform instream data monitoring, andmaintaindata in reporting platforms. The role will collaborate with cross-functional teams and external partners to resolve queries and uphold relevant quality standards and regulatory requirements. Additionally, they will author data management documentation,monitordata integrity, implement process improvements, and work on multiple complex projects to support successfulCDxactivities.
Responsibilities include but are not limited to:

  • Lead end-to-end clinical data management activities for companion diagnostic studies, including data acquisition, database design, data review, external data integration, reconciliation, quality control, database lock, and preparation of submission-ready datasets supporting global regulatory submissions.

  • Lead EDC/CRF system design, validation, user acceptance testing (UAT), maintenance, and database lock activities to supportCDxstudy regulatory reporting requirementsin accordance withapplicable regulatory requirements and company procedures.

  • Collaborate with Biostatistics and Programming functions to ensure development of submission-ready SDTM and ADaM datasets supporting PMA, 510(k), De Novo,NDAand BLA submissions.

  • Support preparation of submission-ready clinical data packages for FDA PMA, PMA supplement, 510(k), NDA/BLA companion diagnostic submissions, and international regulatory filings including EU IVDR.

  • Apply risk-based data management principles to identify critical data and proactively mitigate data quality risks throughout study execution.

  • Ensure inspection readiness through maintenance of complete, traceable, and auditable records, and serve as a clinical data management SME during audits and regulatory inspections.

  • Develop Data Transfer Specifications detailing deliverables, formats, and timelines; act as the primary liaison for internal teams and pharmaceutical partners.

  • Author andmaintaindata management documentation throughout the study lifecycle, including SOPs, process flows, data management plans, CRFs, and database specifications.

  • Serve as a subject matter expert (SME) representing Agilent externally and OCMO internally, collaborating with cross-functional teams (Clinical Development, Clinical Operations, CROs, Pharmaceutical Partners, Biostatistics, Quality Affairs/Design Assurance, and Regulatory Affairs) to align on data-related activities and ensure accurate, compliant, and timely data transfers.

  • Demonstrateexpertisein data format standards (e.g., CDISC SDTMADaMand LAB) and integration with various EDC platforms.

  • Perform quality control checks to ensureaccurate, complete, and compliant data for Agilent internal projects and external data deliverables to pharmaceutical partners.

  • Identifyand escalate data integrity issues; recommendprocessimprovements as needed.

  • Plan, coordinate, and manage data management activities across programs tomaintainconsistency in clinical data standards.

  • Act as Data Management Subject Matter Expert for Agilent's BioPharmaCDxServices Lab (BCSL)

  • Apply strong knowledge of GCP, ICH, and regulatory requirements to supportCDxsubmissions and communicate effectively to build internal programs.

Qualifications
  • Bachelor's Degree in Data Science, Computer Science, Information Technology or related field OR Master's degree or advanced degree (e.g., Ph.D., Pharm. D., M.D.) in pharmaceutical,medicalor relevant biomedical science fields with data management experience. Advanced degree preferred.

  • Minimum 5-8 years of clinical data management experience in biotechnology, pharmaceutical, medical device, diagnostics, or companion diagnostic development.

  • Hands-on experience with CDISC standards including SDTM, ADaM, CDASH and Define.xml.

  • Demonstrated experience designing and managing studies using EDC platforms such as Medidata Rave, Veeva CDMS/EDC, OracleInForm,REDCapor equivalent systems.

  • Direct experience supporting oncology clinical trials, biomarker-driven studies, companion diagnostics, precision medicine programs, or regulated IVD developmentstronglypreferred.

  • Ability to interpret regulatory standards, guidance, and laws.

  • Exceptional ability to manage multiple projects in a fast-paced environment with changing priorities.

  • Must be able to work and make independent decisions, understand complex scientific and clinical data information, and be able to take the initiative to lead projects and assignments.

  • Experience working with external partners and/or regulatory bodies.

  • Knowledge of cancer diagnostics, Oncology and/or Pathology preferred.

Additional Details

This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least August 5, 2026 or until the job is no longer posted.The full-time equivalent pay range for this position is $105,280.00 - $197,400.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.Travel Required: NoShift: DayDuration: No End DateJob Function: Medical/Clinical

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