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Pfizer Statistical Programming information

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$84.5K

$147.3K

$249K

How much do pfizer statistical programming jobs pay per year?

As of Jun 7, 2026, the average yearly pay for pfizer statistical programming in the United States is $147,292.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What is the difference between Pfizer Statistical Programming vs Pfizer Data Management?

AspectPfizer Statistical ProgrammingPfizer Data Management
Primary RoleDevelops statistical analyses and programming for clinical trialsManages and maintains clinical trial data collection and quality
Skills & CertificationsProficiency in SAS, R, or Python; biostatistics knowledgeData management systems, CDISC standards, database skills
Work EnvironmentCollaborates with statisticians and clinical teamsWorks with data managers and database teams
Industry UsageCommon in pharmaceutical R&D departmentsIntegral to clinical data operations in pharma

Pfizer Statistical Programming focuses on creating and implementing statistical analyses for clinical trials, while Pfizer Data Management handles the collection, validation, and organization of clinical data. Both roles are essential in the drug development process and often collaborate closely, but they differ in their core responsibilities and skill sets.

What is Pfizer Statistical Programming?

Pfizer Statistical Programming refers to the specialized field within Pfizer where professionals use statistical software, such as SAS or R, to analyze clinical trial data and support drug development. These programmers create datasets, perform statistical analyses, and prepare reports that are essential for regulatory submissions and internal decision-making. They work closely with biostatisticians, clinical teams, and data managers to ensure the accuracy and integrity of clinical data. The work is crucial for meeting regulatory standards and advancing new medicines through clinical trials.

What are the key skills and qualifications needed to thrive as a Pfizer Statistical Programmer, and why are they important?

To thrive as a Pfizer Statistical Programmer, you need strong expertise in statistics, programming (especially SAS), and a background in life sciences or a related quantitative field. Familiarity with industry-standard tools like SAS, CDISC standards (SDTM, ADaM), and regulatory submission requirements is highly valued. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills are essential to produce high-quality statistical analyses that meet regulatory standards and support successful drug development.

How does a Statistical Programmer at Pfizer typically collaborate with biostatisticians and clinical teams during a clinical trial project?

As a Statistical Programmer at Pfizer, you will work closely with biostatisticians and clinical teams throughout different stages of clinical trials. Your primary responsibility is to translate statistical analysis plans into accurate, efficient code, ensuring data is appropriately prepared and analyzed. You will regularly attend cross-functional meetings to clarify requirements, discuss timelines, and resolve data or programming issues. This collaborative environment fosters both technical growth and a deep understanding of the clinical research process, offering opportunities to contribute to the overall success of drug development projects.

Are SAS Programmers in demand?

SAS Programmers are in demand in the pharmaceutical and healthcare industries, especially for clinical trial data analysis and regulatory submissions. Skills in SAS programming, along with knowledge of statistical methods and validation processes, increase employability in this field.
Infographic showing various Pfizer Statistical Programming job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 1% Temporary, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $147,292 per year, or $70.8 per hour.
Applied Machine Learning/AI Scientist

Applied Machine Learning/AI Scientist

Repertoire Immune Medicines

Cambridge, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 days ago

Job description

Applied Machine Learning/AI ScientistRepertoire Immune Medicines is a clinical-stage biotechnology company harnessing the power of the human immune system to develop transformative therapies for cancer and autoimmune disease. Using its proprietary DECODETM platform—which maps the immune synapse between T cell receptors (TCRs) and their antigen targets—Repertoire translates unique biological insights into potent and targeted off-the shelf immune medicines. The company integrates deep protein engineering expertise with artificial intelligence, powered by a proprietary DECODE database of over one billion TCR-antigen interactions, to accelerate discovery and optimize drug candidates.
From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire is advancing a pipeline of T cell-targeted immunotherapies with the potential to address a broad range of cancers and autoimmune disorders. The company’s lead oncology program, RPTR-1-201, a TCR bispecific, has initiated a Phase 1/2 clinical trial across multiple solid tumor indications. Repertoire plans to advance additional TCR bispecific therapies into clinical trials over the next 12-18 months. In autoimmune disease, Repertoire is partnering with leading pharmaceutical companies to develop mRNA tolerizing therapies designed to selectively expand regulatory T cells and reset the immune system.
Repertoire was founded in 2019 by Flagship Pioneering and is supported by a strong investor base. The DECODE platform has been validated through four strategic partnerships with leading pharmaceutical companies—Bristol Myers Squibb, Genentech, Eli Lilly, and Pfizer—representing over $4.5 billion in disclosed total deal value and $185 million in upfront payments received to date.Role OverviewRepertoire Immune Medicines is seeking an Applied Machine Learning Scientist to join the Artificial Immune Intelligence team to enable the discovery of new insights from our extensive and growing immune synapse database. The successful candidate will work at the intersection of applied machine learning, statistics, computational biology, and data science with broad impact across early discovery, candidate development, and biomarker discovery efforts.
This position offers a unique opportunity to apply and advance state‑of‑the‑art computational methods—including protein language models, structural modeling, and deep learning—to better understand the immune response and leverage these insights to develop transformational immune medicines. The successful candidate will collaborate closely with experimental, clinical, and computational colleagues to translate computational insights into therapeutic candidates and biomarker strategies.Key Responsibilities
  • Assist in the conception, development, optimization, and evaluation of machine learning models to better understand the TCR–peptide‑MHC interface.
  • Develop, evaluate, and implement rigorous analytical models and methods as needed for scientific discovery and development.
  • Work alongside other machine learning scientists, computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development.
  • Maintain familiarity with current scientific literature to assist in the development and benchmarking of new methods.
  • Communicate findings both internally and externally via presentations and publication.
Qualifications/Experience
  • PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, immunology, genetics, cancer biology, or a related quantitative field; or a Master’s degree with 3+ years of relevant industry or academic experience.
  • Demonstrated ability to deliver impact in cross‑functional, multidisciplinary scientific teams.
  • Hands‑on experience with protein language models (PLMs), structural modeling, or related ML approaches for biological data.
  • Familiarity with evaluating and interpreting predicted protein structures, including interface confidence metrics (e.g., pTM, ipTM), and incorporating structural features into machine learning workflows.
  • Strong programming skills in Python, including experience with scientific and ML libraries such as NumPy, SciPy, pandas, PyTorch, and/or TensorFlow.
  • Proven ability to analyze and model complex, high‑dimensional biological datasets using sound computational and statistical practices to drive novel insights.
  • Track record of contributing to scientific publications or equivalent technical outputs (e.g., preprints, conference papers, internal technical reports).
  • Intellectual curiosity, scientific rigor, and enthusiasm for working in a fast‑paced, evolving research environment.
Preferred Qualifications
  • Experience working with TCR-pMHC binding is a strong plus as well as a background in immunology/immuno-oncology.
  • Practical experience with PLM fine-tuning, embedding extraction, and attention-based interpretation for downstream biological tasks (e.g. binding prediction, fitness landscapes, mutational scanning).
  • Experience with structural modeling tools and frameworks, including protein structure prediction (AlphaFold2/3, RoseTTAFold, ESMFold), structure-based design (ProteinMPNN, RFdiffusion), and/or graph neural networks operating on 3D protein coordinates (e.g. GCN, raph Transformers, GVP-GNN).

The base salary for this role ranges from $134,000 to $160,000 and is determined based on a candidate’s skills, experience, and internal equity. In addition to a competitive base salary, Repertoire offers a broad range of benefits designed to attract, retain, and motivate top talent, including medical, dental, vision, and life insurance, flexible time off, a 401(k) retirement plan, and short- and long-term incentive opportunities. Compensation and benefits are based on Repertoire’s good faith estimate at the time of publication and may be updated in the future.
 
Repertoire is committed towards social responsibility and developing an inclusive culture.  Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire.  We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference.
Repertoire is proud to be an Equal Opportunity Employer.
 

Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire’s internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto.
 

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