Boehringer Ingelheim

Post Doctoral - Bioinformatics (Ames, United States, Iowa)

Ames, Iowa, United States Type not listed
Biostatistics & Data Science

Boehringer Ingelheim is the source of truth for this posting and owns the application process. We surface normalized context and market comparison you won't find on the original listing.

About this opportunity

Description

Boehringer Ingelheim is seeking a motivated, enthusiastic, and creative Bioinformatics Post-Doctoral Fellow to join our Future Innovation team the Research department located in Ames, Iowa. The primary role of this position is to conduct bioinformatic analysis within animal health to provide targets for vaccine and therapeutic solutions. This position is part of the global Boehringer Ingelheim Post-Doctoral Program https://careers.boehringer-ingelheim.com/post-doc/

The incumbent is accountable for development and maintenance of computational pipelines and algorithms across diverse biological research projects.  They will be responsible for the design, interpretation, and presentation of analyzed results to generate actionable conclusions.  The individual be part of a small, highly collaborative bioinformatics team and will need to demonstrate agility, accountability and innovation in everyday work.

About us:

Boehringer-Ingelheim Animal Health (BIAH) is a family-owned company dedicated to the protection and treatment of animals from genetic disorders and infectious disease.  BIAH recognizes the essential link between animals, humans and the environment as part of a One Health solution.  Operating in over 150 countries with greater 10,000 employees BIAH is a truly global company with over $4 billion in sales in 2021.  Innovation is a core principle to BIAH and that begins with cutting edge research centered in state-of-the-art facilities, including the newly built location centered in the Iowa State University Research Park in Ames, Iowa.  BIAH recognizes and cares for its employees and encourages a strong work/life balance.

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 company success. We realize that our strength and competitive advantage lie with our people. We support our employees in several 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

Conduct computational research supporting protein design, protein engineering, and structural biology initiatives.

Develop and apply computational workflows for protein sequence, structure, and functional analysis using state-of-the-art bioinformatics and modeling approaches.

Contribute to development of robust data capture, management, and curation processes that enable high-quality datasets for machine learning and artificial intelligence applications.

Support data infrastructure, metadata standards, and workflow automation to improve data accessibility, traceability, and reproducibility across research programs.

Develop and document software tools, pipelines, and analytical workflows using Python, R, or other appropriate programming languages.

Utilize version control systems (Git) and collaborative software development practices, including code review, testing, documentation, and release management, to ensure maintainable and reproducible computational research.

Apply machine learning and artificial intelligence methods to support protein design, predictive modeling, candidate prioritization, and biological discovery.

Create species-specific computational workflows leveraging comparative genomics, protein homology, structural modeling, literature review, and other computational approaches.

Effectively communicate and defend scientific findings and computational approaches in written reports, presentations, and cross-functional discussions.

Collaborate closely with biologists, protein scientists, data scientists, and software engineers to translate research goals into scalable computational solutions.

Demonstrate technical leadership by mentoring junior scientists and promoting best practices in bioinformatics, software development, and data management.

Maintain the highest standards of scientific integrity, data governance, and ethical use of data and computational methods.

Comply with all applicable corporate, national, and local regulations, maintaining appropriate documentation and records in accordance with company policies and SOPs.

Requirements

PhD from an accredited institution in Bioinformatics, Computational Biology, Computer Science, Structural Biology, Protein Engineering or related fields.

Demonstrated expertise computational biology, protein sequence and structural analysis, protein modeling, or protein design methodologies.

Strong programming skills in Python, R, or other scientific programming languages.

Experience utilizing Git and modern version control practices for collaborative software development, code review, and documentation.

Experience working in high-performance computing (HPC, or scalable computational environments is preferred.

Background in infectious disease and animal health is preferred.

Ability to function in multi-disciplinary teams is required.

Ability to create written scientific reports and protocols, through strong written and verbal communications skills.

Ability to clearly articulate scientific concepts related to biologics discovery, protein engineering, and computational research across functions.

The role requires highly motivated, dependable and well-organized individuals who can operate in a collaborative team environment.

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.

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Job details

Seniority
Not listed
Function
Biostatistics & Data Science
Therapeutic area
Not listed
Location
Ames, Iowa, United States
Employment type
Not listed

How this role compares

Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.

We currently track 137 comparable Biostatistics & Data Science roles across 22 biopharma companies.

137Comparable roles tracked
118Currently active
22Companies hiring similar roles
17Countries represented

Salary context

46 of 137 peers report a salary range (USD, annualized)

Peers share this role's job function. This posting doesn't list a seniority level, so peers aren't narrowed by seniority either -- the range below may span more levels than usual.

This roleSubject Not listed on this posting
Lowest disclosed · Sr. Computational Statistician (R2 – R3) · Lilly $46,842/yr – $117,289/yr
Peer group range $82,066 – $329,250 (median $173,275)

Where these roles are based

Top locations among the 137 comparable roles

United States77
United Kingdom11
India10
Japan7
Germany7
Poland5

+ 11 more countries

Seniority mix

105 of 137 peers have a known seniority level

Senior27
Principal25
Manager24
Director11
Associate Director11
Intern/Fellow/Postdoc3
Associate2
Executive/VP1
Senior Director1

Therapeutic area mix

14 of 137 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden

Oncology14

Similar opportunities

The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.

40%similar
Lilly Director
Same function Same country

Open in 2 locations

Indianapolis, United StatesBoston, United States
40%similar
Lilly Indianapolis, Indiana, United States of America Senior
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Associate
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America
Same function Same country
40%similar
Lilly Indianapolis, Indiana, United States of America Principal
Same function Same country

How we calculate "similar"

No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.

Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.

40%
Director - Statistics
Lilly · Indianapolis, Indiana, United States of America · Director
Function Therapeutic area Seniority Country
40%
Computational Statistician (R2-R4)
Lilly · Indianapolis, Indiana, United States of America · Seniority not listed
Function Therapeutic area Seniority Country
40%
Pre-Clinical Statistician
Lilly · Indianapolis, Indiana, United States of America · Seniority not listed
Function Therapeutic area Seniority Country
40%
Sr. Advisor - Statistics
Lilly · Indianapolis, Indiana, United States of America · Senior
Function Therapeutic area Seniority Country
Unmatched or unknown dimensions score exactly the same: 0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.