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Senior Scientist, Computational Biology (Remote is Possible)

Employer
Boehringer Ingelheim
Location
Ridgefield, Connecticut, US
Salary
Competitive
Closing date
Dec 10, 2021

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Sector
Academic / Research
Field
Informatics / GIS
Discipline
Genetics, Biology
Salary Type
Salary
Employment Type
Full time
Description:

Description:

The Senior 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 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 Therapeutic Area (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 Accountability, Agility and Intrapreneurship 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.

Other Requirements:
  • 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 Cancer Immunology or Immunological diseases.
  • Experience working with patient-centric data, GWAS, and eQTL analysis is desirable.
  • Experience working with Linux environment, high performance computing clusters, and cloud computing.
  • Experience 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 desired.

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
  • This position will require individuals to be fully vaccinated against COVID-19 or have an approved medical or religious accommodation. Click here for more information on the vaccine mandate and COVID-19.


Compensation:

This position offers a base salary typically between ($131,100) and ($163,800). There is opportunity to consider higher compensation above this range based on business need, candidate experience and or skills. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here.

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 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. All qualified applicants will receive consideration for employment without regard to a person's actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.

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