Senior Computational Biologist (m/f/d), for single-cell data analysis
DEU - Berlin
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.
Right now, we are seeking highly qualified candidates to fill the following position in Berlin:
Senior Computational Biologist (m/f/d), for single-cell data analysisAbout the role:
Pfizer's cross-functional 'omics ecosystem team is actively seeking a highly motivated, creative, and seasoned senior computational biology researcher with a strong background in single-cell (+ related modalities) data analysis/integration, exceptional full-stack software engineering skills, and exemplary data handling capabilities. The ideal candidate will have an esteemed scientific reputation in the field of bioinformatics research and will play a pivotal role in our dynamic and pioneering cross-functional team dedicated to advancing the development of a cutting-edge single-cell platform for Pfizer R&D. In this role, the candidate will leverage their expertise to design innovative approaches that extract valuable insights from Pfizer's proprietary data and external datasets, enabling the generation of testable hypotheses across the entire drug discovery value chain.
Your responsibilities include:
Development and implementation of a single-cell platform to enable efficient and scalable analysis of single-cell data and related modalities
Development of effective machine learning data loaders together with the machine learning team for cutting-edge single cell machine learning
Processing and analysis of internal single-cell sequencing datasets
Curation and integration of relevant datasets from the public domain
Development of a data dissemination concept for single-cell sequencing data and related modalities
Implementation of new methods for single-cell data analysis and visualization
Drive collaborations with external companies
Develop Pfizer single-cell 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, related technical discipline.
PhD and several years of relevant research experience in developing single cell analysis and data integration solutions and a sincere interest for 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 AI/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 heterogenous data sets related to single-cell sequencing 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, 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. Our BRAVO Award program gives us an appreciative opportunity to do so. Our employees benefit from a comprehensive company health management "Pfizer in Balance" also during working hours.
Living our values extends well-beyond the workplace, you get the opportunity to support people in need and to carry out our efforts around diversity, inclusion & equity, environmental sustainability and against any form of exclusion through volunteering e.g., during our annual engagement days.
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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Tags: Agile Architecture Bioinformatics Biology CI/CD Data analysis Data strategy Drug discovery Engineering ETL Machine Learning PhD Physics PostgreSQL Python PyTorch R R&D Research Statistics
Perks/benefits: Career development Equity / stock options Health care
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