Senior Computational Biologist Genetics (m/f/d)

Senior Computational Biologist Genetics (m/f/d)

A career at Pfizer offers opportunity, ownership, and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

About the role:

Pfizer's cross-functional 'omics ecosystem team is actively seeking a highly motivated, creative, and experienced senior computational biologist specializing in genetics, particularly in the field of Genome-Wide Association Studies (GWAS). The selected candidate will play a pivotal role in our dynamic and pioneering cross-functional team, with a primary focus on advancing the development of a state-of-the-art genetics platform for Pfizer R&D across research areas. As a full-stack computational biologist, the candidate will utilize their expertise to design innovative approaches for extracting valuable insights from both Pfizer's proprietary data and external datasets, with a specific emphasis on GWAS and the motivation of new targets based on genetic evidence. This will involve developing and implementing cutting-edge methodologies to enable the generation of testable hypotheses throughout the drug discovery value chain.

Your responsibilities include:

• Development and implementation of a genetics data platform to enable efficient and scalable analysis of genetics data in order to provide evidence for new targets, indications, and safety.
• Development of effective machine learning data loaders together with the machine learning team for cutting-edge single-cell machine learning.
• Processing and harmonization of internal GWAS studies.
• Curation and integration of relevant datasets from the public domain, e.g. GWAS catalogue.
• Development of a data dissemination concept for genetics data.
• Integration of (public) data sources to contextualize genetics data.
• Implementation of new methods and pipelines for genetics data analysis and visualization.
• Conceptualization and implementation of a target prioritization platform.
• Working out TREs.
• Drive collaborations with external companies.
• Develop Pfizer genetics data strategy together with other functions from the research units.
• Strengthen external visibility and scientific excellence through publishing/presenting work in reputed journals and conference/workshop venues and engaging with the scientific community.

About you:

• Formal training in Computational Biology, Biology, Physics, Statistics, or related technical discipline.
• PhD and several years of relevant research experience in developing genetics analysis and data integration methods and a sincere interest in computational life sciences.
• Highly creative person with outstanding problem-solving skills to tackle complex analysis tasks in a timely fashion.
• Strong full-stack developer with focus on Python, in-depth database expertise with a focus on Postgres, ETL frameworks.
• Exceptional programming skills in Python are a prerequisite. Familiarity with pertinent libraries within the Python scientific stack would be highly advantageous.
• Proficiency in utilizing ML libraries including PyTorch and Lightning is essential.
• Proven expertise in software engineering, package development, cloud architectures, CI/CD, and software engineering tooling.
• Hands-on experience in handling, processing, integrating, and analyzing large heterogeneous data sets related to genetics data in a drug discovery research environment.
• Strong publication record and demonstrated contributions to the field.
• Passion and curiosity for data and proven ability to take ideas from prototype to production.
• Strong interpersonal skills, distinct collaborative attitude, and excellent written and verbal communication.

Together we stand for:

Breakthroughs that change patients' lives – In order to fulfill our corporate purpose, a value-oriented corporate culture guides our actions. Pfizer's values are: Courage, Excellence, Equity & Joy.

Courage: One bold way we are achieving our goals is our company-wide digital transformation strategy. Our flat hierarchies enable short decision-making paths.

Excellence: We focus on what is really important, take responsibility, measure progress, and work together in a spirit of trust. Together we rely on an agile way of working that encourages our employees to balance their private and work lives and to promote personal development.

Equity: We believe that different experiences are valuable, which is why every opinion is heard and valued. These experiences and opinions enrich the entire company. In this way, we promote a diverse and inclusive working environment in which colleagues in various Diversity, Equity & Inclusion (DE&I) working groups such as, e.g. Engage Empowered Women, LGBT*IQ, DisAbility, X-Gen.

Joy: If we experience our work as meaningful, we get a lot in return. We achieve this by being proud of the contribution we make, appreciating each other, and sharing this with joy and recognition.

For us, it goes without saying that we offer fair remuneration in accordance with the IG BCE framework collective agreement, as well as a pension scheme and many other attractive benefits.

Visit our website for more information at: Arbeiten bei Pfizer Deutschland

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