Sr./Principal Scientist, Computational Biology (Expert)

Location
Ridgefield, CT
Posted
Apr 10, 2018
Required Education
Doctorate/PHD/MD
Position Type
Full time

Description:                        

The Senior Scientist /Principal Scientist leads the identification and incorporation of new technologies or best practices to enhance a specific scientific or technical area and/or leads a portfolio project. She/he also identifies and proposes external collaborations.

In the Bioinformatics Expert role, the incumbent works as a member of Cross-Functional Project Teams and 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

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
  • Demonstrate a high level of AAI capabilities by taking the initiative without waiting for direction, working with a sense of urgency to discover breakthrough medicines that will improve patients’ lives, sharing ideas beyond own team, and challenging the status quo

Senior Scientist Requirements:

  • Ph.D. degree or equivalent from an accredited institution 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 locally recognized science and/or technology subject matter expert within his/her department who develops and implements experimental approaches that contribute to department/Discovery Research goals by demonstrating expert knowledge to advance the portfolio.  The development of a strong publication record within his/her expertise area is expected. 
  • 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.
  • 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.
  • Comply with all company policies, and maintain high quality of data and analyses (consistency checks at the logical and scientific level are implemented)

Principal Scientist Requirements:

  • Ph.D. degree or equivalent from an accredited institution 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.
  • 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.
  • Comply with all company policies, and maintain high quality of data and analyses (consistency checks at the logical and scientific level are implemented)

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

Our Culture:

Boehringer Ingelheim is one of the world’s top 20 pharmaceutical companies and operates globally with approximately 50,000 employees.  Since our founding in 1885, the company has remained family-owned and today we are committed to creating value through innovation in three business areas including human pharmaceuticals, animal health and biopharmaceutical contract manufacturing.  Since we are privately held, we have the ability to take an innovative, long-term view.   Our focus is on scientific discoveries and the introduction of truly novel medicines that improve lives and provide valuable services and support to patients and their families.  Employees are challenged to take initiative and achieve outstanding results. Ultimately, our culture and drive allows us to maintain one of the highest levels of excellence in our industry. We are also deeply committed to our communities and our employees create and engage in programs that strengthen the neighborhoods where we live and work.  Boehringer Ingelheim, including Boehringer Ingelheim Pharmaceuticals, Inc., Boehringer Ingelheim USA, Boehringer Ingelheim Animal Health USA, Merial Barceloneta, 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; nationality; marital, domestic partnership or civil union status; sex, gender identity or expression; affectional or sexual orientation; disability; veteran or military status, including protected veteran status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Boehringer Ingelheim is firmly committed to ensuring a safe, healthy, productive and efficient work environment for our employees, partners and customers. As part of that commitment, Boehringer Ingelheim conducts pre-employment verifications and drug screenings.