Senior Scientist / Principal Scientist, Computational Biology (Expert)

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment which benefits our employees, patients and communities.
Candidate will be hired at level commensurate with experience and education
Computational Biology and Digital Sciences is a global organization across multiple sites at Boehringer Ingelheim: Ridgefield, CT, Biberach, Germany and Vienna, Austria. We are currently hiring a Computational Biology Expert in Ridgefield, CT.
A Senior Scientist or Principal Scientist establishes scientific/technology strategic priorities and leads the identification and implementation of state of the art capabilities across functions within the global Discovery Research organization that have broad impact on portfolio advancement. Lead multiple target projects, and overcomes obstacles to ensure projects and initiatives result in a decision. The Senior Scientist or Principal Scientist has responsibility for the development and growth of the portfolio and for leading external collaborations.
In the Bioinformatics Expert role , the incumbent works as a member of Cross-Functional Project Teams, contributes to the discovery of First-in-Class or Breakthrough drugs. Evaluate, acquire/develop, and champion the use of genomics data and bioinformatics tools as a foundation to drive innovation in the BI portfolio. Support new therapeutic concept (NTC) discovery, proof of clinical principal (PoCP), and mechanism of action (MOA) studies. Lead/contribute to disease and mechanistic model characterization to expand the role of genes, pathways, and cell types in the pathogenesis. The Bioinformatics Expert contributes to projects across multiple Therapeutic Area's (TA's) at the Ridgefield site, including I&R, Cardiometabolic Research, and Cancer Immunology.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees
Duties & Responsibilities:
- Development of Analysis Plans in close collaboration with the TA Partner, by 1.) providing conceptual input into analysis plans (approaches and experimental design), and 2.) engaging in cross-functional discussions to refine plans and identify key priorities
- Completes bioinformatics data analysis as specified by analysis plans, and provides interpretation and context to results of analysis
- Identify, evaluate, and apply new methodologies and emerging technologies, and develop software tools when appropriate, to contribute to projects across TAs
- Develop talent, mentor staff, and empower teams to ensure decisions are placed at the right level
- Demonstrate a high level of AAI (accountability, agility, intrapreneurship) capabilities by constantly assessing priorities and quickly implement change when needed, inspiring team(s) to surpass their own timelines in order to bring breakthrough medicines to patients in need, championing his/her teams' innovative ideas, empowering and motivating team(s) to discover breakthrough medicines that will improve patients' lives, and effectively making decisions with accountability/agility
- Comply with all company policies, and maintain high quality of data and analyses (consistency checks at the logical and scientific level are implemented)
- Management of project/scientific/technology complexity within teams in the US and with global colleagues is expected.
- Work closely with Bioinformatics Partners; collaborate with other Bioinformatics Experts; meets with Discovery Research, TMCP, and/or external collaborators; interfaces with and participates in drug-discovery project teams; works within a global, cross-functional organization; interacts with IT and Biostatistics
- Is a recognized expert in an area of genomics, proteomics, epigenetics, and/or other high dimensional data analysis; always up-to-date with the latest methods developments in the field; fully understands internal capabilities in the area, as well as external capabilities (service providers as well as academics and collaborators).
- Provides expert-level scientific and bioinformatics expertise within the area(s) of biology and human disease addressed by the TAs. Knowledge of current key datasets, therapeutic landscape and demographic/epidemiological considerations within TA is required.
Principal Scientist Requirements:
- Ph.D. degree or equivalent in biological, statistical, computational, or other quantitative science.
- Five (5) or more years of relevant experience in drug discovery or biomedical research environment after completing a doctoral degree, with at least two (2) years' experience in drug discovery.
- Is a recognized science and/or technology subject matter expert across BI with a sustained publication and external presentation record. She/he identifies new methodologies, protocols and/or test procedures that contribute to department and Discovery Research goals and proactively proposes creative solutions to department or Discovery Research leadership.
- Experience with experiment design, and hands-on NGS (RNAseq, single-cell NGS, whole genome, exome, miRNA, or mcrobiome) data processing and analysis.
- Experience in biological pathways, data visualization, network and systems biology (GSEA, GeneGO, CBDD, Cytoscape, Reactome).
- Proficiency using R and Bioconductor packages, and one or more programming language (Python, Perl, and Javascript).
- Track record of designing, leading, and managing computational research projects.
- Background in or familiarity with gene expression data (microarray, RNA seq) analysis and biological interpretation.
- Understanding of biology of the diseases relevant to at least one of the TAs in Ridgefield (I&R, CMDR, and Cancer Immunology).
- Excellent communication and presentation skills.
- Experience working with patient-centric data, GWAS, and eQTL analysis is desirable.
- Experience working with Linux environment, high performance computing clusters, and cloud computing.
Senior Scientist Requirements:
- Ph.D. degree or equivalent in biological, statistical, computational, or other quantitative science.
- Two (2) or more years of relevant experience in drug discovery or biomedical research environment after completing a doctoral degree.
- Is a recognized science and/or technology subject matter expert across BI with a sustained publication and external presentation record. She/he identifies new methodologies, protocols and/or test procedures that contribute to department and Discovery Research goals and proactively proposes creative solutions to department or Discovery Research leadership.
- Experience with experiment design, and hands-on NGS (RNAseq, single-cell NGS, whole genome, exome, miRNA, or mcrobiome) data processing and analysis.
- Experience in biological pathways, data visualization, network and systems biology (GSEA, GeneGO, CBDD, Cytoscape, Reactome).
- Proficiency using R and Bioconductor packages, and one or more programming language (Python, Perl, and Javascript).
- Track record of designing, leading, and managing computational research projects.
- Background in or familiarity with gene expression data (microarray, RNA seq) analysis and biological interpretation.
- Understanding of biology of the diseases relevant to at least one of the TAs in Ridgefield (I&R, CMDR, and Cancer Immunology).
- Excellent communication and presentation skills.
- Experience working with patient-centric data, GWAS, and eQTL analysis is desirable.
- Experience working with Linux environment, high performance computing clusters, and cloud computing.
Eligibility Requirements:
Must be legally authorized to work in the United States without restriction.
Must be willing to take a drug test and post-offer physical (if required)
Must be 18 years of age or older
Who We Are:
At Boehringer Ingelheim we create value through innovation with one clear goal: to improve the lives of patients. We develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company we focus on long term performance. We are powered by 50.000 employees globally who nurture a diverse, collaborative and inclusive culture. Learning and development for all employees is key because your growth is our growth.
Want to learn more? Visit boehringer-ingelheim.com and join us in our effort to make more health.
Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA Inc., Boehringer Ingelheim Animal Health Puerto Rico LLC and Boehringer Ingelheim Fremont, Inc. is an equal opportunity and affirmative action employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; citizenship status, marital, domestic partnership or civil union status; gender, gender identity or expression; affectional or sexual orientation; pregnancy, childbirth or related medical condition; physical or psychiatric disability; veteran or military status; domestic violence victim status; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by applicable federal, state or local law.
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Organization: US-BI Pharma/BI USA
Title: Senior Scientist / Principal Scientist, Computational Biology (Expert)
Location: Americas-US-CT-Ridgefield
Requisition ID: 2012238