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Phd Biotech Jobs (NOW HIRING)

Legend Biotech entered into a global collaboration agreement with Janssen, one of the ... RequirementsMaster's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a ...

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Phd Biotech information

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$94.5K

$130.5K

How much do phd biotech jobs pay per year?

As of May 30, 2026, the average yearly pay for phd biotech in the United States is $128,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Biotech professional, and why are they important?

To excel as a PhD Biotech professional, you need advanced knowledge in molecular biology, genetics, and biochemistry, supported by a doctoral degree in a relevant scientific field. Familiarity with laboratory techniques (e.g., PCR, CRISPR), bioinformatics tools, and data analysis software is typically required, along with experience in research methodologies. Critical thinking, effective communication, and teamwork are vital soft skills for collaborating on complex projects and presenting scientific findings. These competencies drive innovation, ensure rigorous research standards, and support progress in the rapidly evolving biotechnology sector.

What are some common challenges faced by PhD-level professionals in biotech roles, and how can they be addressed?

PhD-level professionals in biotech often encounter challenges such as balancing research innovation with project deadlines, navigating interdisciplinary collaboration, and adapting to rapidly changing technologies. To address these, it’s helpful to develop strong project management skills, actively seek feedback from colleagues in other scientific and business domains, and stay updated through continuous learning. Engaging in cross-functional teams and participating in professional development programs can also enhance both technical and soft skills, ensuring success in a dynamic biotech environment.

What are PhD Biotech professionals?

PhD Biotech professionals are individuals who have earned a Doctor of Philosophy (PhD) in biotechnology, a field that combines biology, chemistry, engineering, and computer science to develop products and technologies for healthcare, agriculture, and industry. These experts conduct advanced research, develop new technologies, and often lead projects in academic, industrial, or governmental settings. Their work can include genetic engineering, drug development, environmental sustainability, and more. PhD holders in biotechnology are typically involved in both laboratory research and the application of scientific findings to solve real-world problems.

What is the difference between Phd Biotech vs Biotech Research Scientist?

AspectPhd BiotechBiotech Research Scientist
Required CredentialsPhD in Biotechnology or related fieldBachelor's or Master's with relevant experience, sometimes PhD
Work EnvironmentAcademic, research institutions, biotech companiesBiotech companies, research labs, industry settings
Employer & Industry UsageAcademic institutions, government agencies, biotech firmsPrivate biotech companies, pharmaceutical firms
Common Search & ComparisonYesYes

The main difference between a Phd Biotech and a Biotech Research Scientist lies in the level of education and typical work environment. A Phd Biotech usually holds a doctoral degree and works in academia or research institutions, focusing on advanced research. In contrast, a Biotech Research Scientist often has a bachelor's or master's degree and works in industry settings, applying research to product development and innovation.

More about Phd Biotech jobs
What cities are hiring for Phd Biotech jobs? Cities with the most Phd Biotech job openings:
What states have the most Phd Biotech jobs? States with the most job openings for Phd Biotech jobs include:
Infographic showing various Phd Biotech job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 32% Full Time, 64% Part Time, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $128,141 per year, or $61.6 per hour.

Sr. Manager, Biostatistician / Programmer

Legend Biotech USA, Inc.

Hybrid

Full-time

Posted 14 days ago


Job description

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

Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.Legend Biotech is seeking a Sr. Manager, Biostatistician/Programmer as part of the Clinical team based in Somerset, NJ.Role OverviewThe Sr. Manager, Biostatistician/Programmer plays a critical hands-on role in supporting Legend Biotech's clinical development programs by transforming clinical trial data into high-quality analyses, tables, figures, and listings that inform decision-making.

This role partners closely with clinical, translational, research stakeholders to deliver timely insights, conduct exploratory and ad hoc analyses, and deeply understand the medical and scientific questions underlying the data. The position requires strong programming expertise, data agility, intellectual curiosity, and the ability to work independently in a fast-moving biotech environment.Key ResponsibilitiesDevelop, validate, and maintain high-quality Tables, Figures, and Listings (TFLs) to support ongoing clinical trials, interim analyses, and internal/external deliverables in compliance with study requirements and standards.Perform hands-on statistical programming and data manipulation to support planned and ad hoc analyses, addressing evolving clinical and scientific questions.Independently explore and interrogate clinical trial data to identify trends, anomalies, and insights that support clinical interpretation and decision-making.Collaborate closely with Biostatistics, Clinical Development, Clinical Operations, Data Management,Translational research and Medical teams to ensure alignment of analyses with protocol objectives and clinical intent.Apply a strong understanding of therapeutic area, disease biology, and clinical endpoints to translate data into meaningful scientific insights.Contribute to analysis datasets, program specifications, programming documentation, and quality control activities in accordance with internal standards and regulatory expectations.Support process improvement initiatives, including enhancing programming efficiency, standardization, and reproducibility across studies and programs.This role operates with a high degree of autonomy in determining programming approaches, exploratory analyses, and data interrogation strategies to answer clinical questions. The Sr.

Manager may independently make decisions related to analysis methods, programming solutions, prioritization of tasks, and investigative follow-up of data issues. Escalation and alignment are expected for changes impacting study-level strategy, major deliverables, timelines with external visibility, or regulatory-facing outputs.RequirementsMaster's degree or PhD in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.Demonstrated hands-on experience developing TFLs and performing ad hoc and exploratory analyses for clinical trials.Strong understanding of clinical trial design, clinical data structures, and the medical context behind analyses.Proven ability to work independently, manage ambiguity, and drive self-directed discovery from data.Experience supporting oncology and/or cell therapy programs is strongly preferred.Advanced proficiency in SAS for clinical trial analysis and reporting.Working knowledge of R for exploratory analyses and data visualizationStrong experience with clinical data standards (e.g., SDTM, ADaM)Experience with or strong willingness to leverage AI-assisted programming tools to accelerate development, enhance code quality, and support efficient generation of Tables, Figures, and Listings (TFLs).#Li-JR1#Li-HybridPlease note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.EEO StatementIt is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.For information related to our privacy notice, please review: Legend Biotech Privacy Notice. Salary: .

Date posted: 05/16/2026