• Senior Scientist, Computational Biology Kidney…

    Boehringer Ingelheim (Ridgefield, CT)


    Description

    The Computational Biologist will play a critical role in our kidney disease research program and will join our innovative Computational Innovation (CI) department at Ridgefield, CT. This position involves the application of computational and bioinformatics techniques to identify and validate new therapeutic targets for kidney disease. The successful candidate will work closely with cross-functional teams, including biologists, and geneticists, to drive the discovery and development of novel treatments.

     

    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, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees

    Duties & Responsibilities

    • Develop and implement computational models and algorithms to analyze large-scale genomic, transcriptomic, and proteomic data.

    • Identify and prioritize potential therapeutic targets for kidney disease through integrative data analysis.

    • Collaborate with experimental biologists to design and interpret validation studies.

    • Utilize machine learning and artificial intelligence techniques to enhance target discovery processes.

    • Stay current with the latest advancements in computational biology and kidney disease research.

    • Prepare and present research findings to internal teams, external collaborators, and through publications and meeting presentations.

    Requirements

    • Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or related fields.

    • 2+ years of postdoctoral or industry experience in discovery research.

    • Strong background in computational and statistical methods for biological data analysis.

    • Proficiency in programming languages such as Python, or R using cluster and/or cloud infrastructure, together with data visualization frameworks (e.g., ggplot2, matplotlib, etc.).

    • Experience with high-throughput data analysis and integration including single-cell and spatial RNA-Seq / proteomic data.

    • Excellent problem-solving skills and the ability to work independently and collaboratively.

    • Strong communication skills, both written and verbal.

    • Track record of scientific publications in peer-reviewed journals.

    Preferred Qualifications:

    • Knowledge of kidney disease or cardio-renal metabolic disease and related pathways is highly desirable.

    • Experience with machine learning, LLM integration, and other AI applications in biological research.

    • Familiarity with drug discovery and development processes.

    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

     

    @computationalinnovation

     

    Compensation Data

     

    This position offers a base salary typically between $140,000 and $222,000.  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. (https://www.boehringer-ingelheim.com/us/careers/benefits-rewards)

     

    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.