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Full Time Biotech Data Science Jobs in Philadelphia, PA

Bachelor's degree in AI, Data Science, Computer Science, or related field * 0-2 years of experience ... Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan. We are a ...

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... The target base salary range for this full-time, salaried position is between $109,400-$157,200 ...

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

HOW YOU WILL MAKE HISTORY HERE The Data Science Analyst plays a critical role in supporting the ... The target base salary range for this full-time, salaried position is between$109,400-$157 ...

Data Scientist

Camden, NJ · On-site +1

$109.40K - $157.20K/yr

The Data Science Analyst plays a critical role in supporting the Demand Planning function by ... The target base salary range for this full-time, salaried position is between $109,400-$157,200 ...

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Full Time Biotech Data Science information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do full time biotech data science jobs pay per year?

As of May 28, 2026, the average yearly pay for full time biotech data science in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Biotech Data Scientist, and why are they important?

To thrive as a Full Time Biotech Data Scientist, you need a solid background in biology or biotechnology, advanced statistical analysis, and programming skills (such as Python or R), typically supported by a relevant degree (e.g., bioinformatics, computational biology, or data science). Familiarity with bioinformatics tools, machine learning frameworks, and database management systems is essential, along with experience using platforms like TensorFlow, scikit-learn, or SQL. Strong problem-solving abilities, communication skills, and the ability to work collaboratively with multidisciplinary teams are key soft skills for this role. These competencies enable effective extraction, analysis, and interpretation of complex biological data, driving innovative solutions and impactful research in biotech environments.

What are some common challenges faced by data scientists working in biotech, and how can these be addressed?

Data scientists in biotech often encounter challenges such as handling complex and high-dimensional biological data, integrating heterogeneous data types (like genomic, clinical, and imaging data), and ensuring data quality and reproducibility. Collaborating closely with biologists, clinicians, and other domain experts is crucial for understanding the context and nuances of the data. Continuous learning, leveraging robust data-cleaning pipelines, and using specialized bioinformatics tools can help overcome these obstacles and contribute to impactful discoveries in the biotech field.

What is a Full Time Biotech Data Science job?

A Full Time Biotech Data Science job involves using data analysis, statistical modeling, and machine learning techniques to solve problems in the biotechnology field. Professionals in this role work with large biological data sets, such as genomic, proteomic, or clinical data, to derive insights that support research, drug development, or healthcare innovations. They often collaborate with biologists, chemists, and software engineers to develop data-driven solutions for complex biological challenges. This role typically requires a strong background in both life sciences and data science, as well as proficiency with programming languages like Python or R.

What is the difference between Full Time Biotech Data Science vs Full Time Bioinformatics Data Scientist?

AspectFull Time Biotech Data ScienceFull Time Bioinformatics Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Bioinformatics, or related fields; programming skills in Python, RBachelor's or Master's in Bioinformatics, Computational Biology, or related fields; programming skills in Python, R
Work EnvironmentPharmaceutical companies, biotech firms, research labsResearch institutions, biotech companies, healthcare organizations
Industry UsageData analysis, predictive modeling, clinical trial dataGenomic data analysis, sequence alignment, biological data interpretation

Full Time Biotech Data Science focuses on analyzing biological data using data science techniques, often involving clinical and experimental data. Full Time Bioinformatics Data Scientist specializes in interpreting genomic and biological datasets, emphasizing sequence analysis and biological insights. Both roles require similar skills but differ in their primary data types and application areas.

What are the most commonly searched types of Biotech Data Science jobs in Philadelphia, PA? The most popular types of Biotech Data Science jobs in Philadelphia, PA are:
What are popular job titles related to Full Time Biotech Data Science jobs in Philadelphia, PA? For Full Time Biotech Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Full Time Biotech Data Science jobs in Philadelphia, PA look for? The top searched job categories for Full Time Biotech Data Science jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Full Time Biotech Data Science jobs? Cities near Philadelphia, PA with the most Full Time Biotech Data Science job openings:
Infographic showing various Full Time Biotech Data Science job openings in Philadelphia, PA as of May 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 41% Physical, 56% Hybrid, and 3% Remote job distribution, with an average salary of $123,854 per year, or $59.5 per hour.

Director, Data Science and Digital Health - Hematology, Oncology

Johnson & Johnson

Spring House, PA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Johnson & Johnson rating

8.1

Company rating: 8.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

31st of 70 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Director, Data Science and Digital Health - Hematology, Oncologyto join our Data Science and Digital Health team (DSDH) and report to the Head of Hematology & Oncology Data Science. This position will be located at one of our offices in either Spring House PA, Cambridge MA, San Diego CA (La Jolla area), Titusville NJ, or Raritan, NJ.
The Director, Data Science and Digital Health - Hematology, Oncologywill direct and lead efforts to bring innovative approaches to the use of Data Science to support R&D for Early-Stage hematology therapies. Primary responsibilities are to identify and deliver Data Science capabilities to achieve clinical goals in a value-driven manner. This role will contribute to an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine - R&D Oncology. A successful candidate will be a business leader for the R&D Data Science team to the Clinical Development Teams (CDTs), where they will apply advanced analytic methodologies (e.g. statistical modeling, AI/Machine Learning) in the drug development process for high-dimensional data, such as real-world evidence. You'll be part of a dynamic, accomplished team that supports the development of novel medicines at Johnson & Johnson Innovative Medicine -Hematology Oncology R&D.

POSITION SUMMARY:

  • Serve as primary business leader for Data Science & Digital Health programs for robust Hematology Oncology Early Development portfolio.
  • Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making. (e.g. study design, execution, diagnostic planning and strategy)
  • Develop data and technical requirements to meet research objectives that can include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Orchestrate, drive and deliver technical solutions with internal and external partners.

Required Qualifications:

  • Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience in pharmaco-epidemiology, statistics, computational science, outcomes research or related field in health care area.
  • A minimum of 5 years industry experience in drug development or related discipline in the field of biotechnology and biomarkers
  • Prior experience with drug development, in areas such as translational research, clinical studies, or regulatory interactions.
  • Working knowledge of advanced analytic methods, such as statistical modeling, biostatistics, machine learning, and/or other relevant techniques.
  • Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims, and emerging platforms such as cell profiling and medical imaging analytics.
  • Capacity to manage timelines and drive key deliverables in a matrix environment.
  • Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals
  • Consistent track record of managing timelines and driving key results in a matrixed organization
  • Excellent communication, interpersonal, and written skills

Preferred Qualifications:

  • Proficiency with regulatory submissions and interaction.
  • Experience with emerging, innovative approaches to drug development, such as Generative AI is an asset.

This position will be located at one of our offices in either Spring House PA, Cambridge MA, San Diego CA (La Jolla area), Raritan, NJ and Titusville, NJ. (*No remote option.)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $164,000 to $282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Master Data Management (MDM), Negotiation, Product Portfolio Management, Quality Control (QC), Resource Planning, Tactical Planning, Technical Credibility

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