Boehringer Ingelheim GmbH
Associate Director Computational Biology, Cardio-Renal-Metabolic diseases
Boehringer Ingelheim GmbH, New Bremen, Ohio, United States
Associate Director Computational Biology, Cardio-Renal-Metabolic diseases
The Position
We are seeking a scientifically driven Associate Director to lead a Computational Biology team focused on Cardio-Renal-Metabolic (CRM) diseases, especially Liver diseases, and to drive computational innovation in drug discovery. In this role, you will collaborate closely with scientists in the CRM therapeutic area to identify and validate novel drug targets, and accelerating discovery using advanced data science and computational biology approaches. You will champion the integration of multi-omics, human genetics, imaging, and clinical data with cutting‑edge computational approaches as a foundation and drive innovation by leveraging both internal and external collaborations and capabilities.
As a key member of our growingComputational Innovation Department (@computationalinnovation), you will shape the strategic direction of computational biology within Inflammatory and Respiratory diseases, contributing to the discovery and development of transformative therapies that improve patients’ lives.
This position has a hybrid setup with minimum 2-3 days per week on site.
Tasks & responsibilities
In your new role, you will lead and manage a team of computational biologists. Therefore, you will foster a culture of collaboration, innovation, and scientific excellence.
You will act as the primary contact to the global Liver Health team in the CRM therapeutic area, ensuring alignment across the therapeutic area portfolio.
You will also provide strategic guidance, mentorship, and development opportunities to the team members to ensuring their growth and the team’s overall success.
Furthermore, you will spearhead cutting‑edge computational biology methods for target and/or biomarker discovery, with focus on Cardio‑Renal‑Metabolic diseases.
In addition, you will establish and maintain standards for data analysis, ensure the quality, integrity and reproducibility of computational results.
For stakeholders, you will translate computational concepts and results into actionable insights to facilitating data‑driven decision‑making.
Requirements
Ph.D. in Computational Biology, Bioinformatics, Mathematics, Statistics or related field, with long term experience in computational sciences applied to drug discovery
Strong leadership experience in line management, including ability to plan, allocate and manage resources efficiently
Proven track record of scientific and pharmaceutical accomplishments; preferably in CRM indications
Demonstrated expertise in computationally driven target identification
Excellent communication skills, with the ability to convey complex computational concepts to diverse audiences
Strong interpersonal skills for fostering collaboration across multidisciplinary teams and experience in mentoring junior scientist and foster a culture of innovation
Ready to contact us? If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
Recruitment process:
Online application - The job posting is presumably online until January 23rd, 2026
Virtual meeting in the period from mid‑January till early February
On‑site interviews on February 27th and March 2nd
Please submit your application documents in English.
Discover our Biberach site: xplorebiberach.com
#J-18808-Ljbffr
As a key member of our growingComputational Innovation Department (@computationalinnovation), you will shape the strategic direction of computational biology within Inflammatory and Respiratory diseases, contributing to the discovery and development of transformative therapies that improve patients’ lives.
This position has a hybrid setup with minimum 2-3 days per week on site.
Tasks & responsibilities
In your new role, you will lead and manage a team of computational biologists. Therefore, you will foster a culture of collaboration, innovation, and scientific excellence.
You will act as the primary contact to the global Liver Health team in the CRM therapeutic area, ensuring alignment across the therapeutic area portfolio.
You will also provide strategic guidance, mentorship, and development opportunities to the team members to ensuring their growth and the team’s overall success.
Furthermore, you will spearhead cutting‑edge computational biology methods for target and/or biomarker discovery, with focus on Cardio‑Renal‑Metabolic diseases.
In addition, you will establish and maintain standards for data analysis, ensure the quality, integrity and reproducibility of computational results.
For stakeholders, you will translate computational concepts and results into actionable insights to facilitating data‑driven decision‑making.
Requirements
Ph.D. in Computational Biology, Bioinformatics, Mathematics, Statistics or related field, with long term experience in computational sciences applied to drug discovery
Strong leadership experience in line management, including ability to plan, allocate and manage resources efficiently
Proven track record of scientific and pharmaceutical accomplishments; preferably in CRM indications
Demonstrated expertise in computationally driven target identification
Excellent communication skills, with the ability to convey complex computational concepts to diverse audiences
Strong interpersonal skills for fostering collaboration across multidisciplinary teams and experience in mentoring junior scientist and foster a culture of innovation
Ready to contact us? If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail: hr.de@boehringer-ingelheim.com
Recruitment process:
Online application - The job posting is presumably online until January 23rd, 2026
Virtual meeting in the period from mid‑January till early February
On‑site interviews on February 27th and March 2nd
Please submit your application documents in English.
Discover our Biberach site: xplorebiberach.com
#J-18808-Ljbffr