Post Doctoral, Computational Toxicology

Description:

Post-Doctoral Fellow, NDS-US

Location\: Ridgefield, CT. Relocation assistance available

Description\:

The Computational Toxicology group within Non-clinical Drug Safety (NDS) for Development at Boehringer Ingelheim is seeking a talented and motivated Post-Doctoral Fellow to join their team at the Ridgefield, CT, site. This scientist will leverage single-cell transcriptomics data to gain insights into mechanisms of immunotoxicity of biotherapeutics to enhance predictive toxicology. The candidate will be expected to develop and publish research findings to both internal and external scientific communities and to collaborate broadly with colleagues in Integrative Toxicology, Molecular Pathology, and Discovery Research groups.

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 success of the company. 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.

Postdoctoral Research Areas of Focus\:

• Generate and analyze single-cell transcriptomics data for deep immunophenotyping and characterization of immune responses in animal models
• Mine and analyze publicly available data to enhance inform species selection for toxicology studies
• Investigate mechanisms of toxicity for biotherapeutics, including antibody drug conjugates, T-cell engagers, and oncolytic viruses
• Identify novel safety biomarkers using advanced statistics and/or machine learning approaches
• Contribute to the Immune Safety Avatar (imSAVAR) consortium, as part of the Innovative Medicines Initiative

Desired Experience, Skills, and Abilities\:

• Recently granted or anticipated Ph.D. degree in Computational Biology, Bioinformatics, Immunology, Genomics, Toxicology, or related scientific field
• Expertise in generating and analyzing genomic/transcriptomic data to answer complex biological questions
• Demonstrated programming experience using R and/or Python, bash scripting, and high performance/cloud computing environments
• Wet lab experience generating genomics and/or transcriptomics data
• Ability to collaborate with scientists from other areas
• Exceptional written and oral communication skills

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

Compensation\: This position offers an annual base salary of $80k with potential for a sign on bonus and relocation assistance. BI Post Doctoral roles are 3 year contracts with potential to renew an additional year. Post Doctoral hires are eligible for certain benefits.

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., 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.