Director of Computational Biology

Our customer from the pharma industry is looking for a
Director (m/w/d) of computational biology
driving development and execution of a computational biology strategy, with a focus

on design of live biotherapeutic product via execution of in vitro, ex vivo, and in vivo

assays to uncover mechanisms driving the efficacy of microbiome interventions.

This role is critical to bridging discovery and translational development by generating

biological insights, validating hypotheses in preclinical models, and supporting

biomarker strategies for clinical studies.

The ideal candidate will hold a PhD in computational biology, microbiology, immunology, or a related field, bring deep expertise in host-microbial interaction assays and immunological readouts, and have proven leadership experience in guiding research teams and managing complex projects in an academic or industry setting.

Responsibilities

Team Management:

Lead, and mentora team of computational biologists and bioinformaticians in a matrixed environment.

Rational Product Design:

Utilize computational methods, including machine learning and systemsbiology, to analyze high-dimensional omics data (e.g.,genomics, metagenomics, transcriptomics) and identify optimal microbial strains and combinations for therapeutic consortia.

Data Integration and Analysis:

Oversee the development and deployment of robust,reproducible computational pipelines for integrating and analyzing large-scale multi-omics datasets from preclinical models and clinical

studies.

Predictive Modeling:

Apply advanced statistical and machine learning techniques to model microbiome-host

interactions, predict LBP efficacy, and assess potential safety profiles.

Cross-Functional Collaboration:

Partner with research, process development, and clinical teams to translate computational

predictions into experimental designs and advance product candidates through the pipeline.

External Engagement:

Identify and manage strategic relationships with external collaborators, vendors,

and academic institutions toaugment internal capabilities.

Scientific Communication:

Act as a subject-matter expert for internal and external audiences, presenting scientific

findings and the computational rationale behind LBP design to drive decision-making.

IP Strategy:

Contribute to the company's intellectual property strategy by identifying and documenting

novel computational methods and LBP compositions.

Required qualifications

Education:

Ph.D. in Computational Biology, Bioinformatics, Microbiology, Immunology, or a related

quantitative field.

Experience and expertise:

A minimum of 8 years ofexperience in computational biology, with at least 4 years in a

leadership role within the biopharmaceutical or biotechnology industry.

Exceptional leadership and peoplemanagement skills:

with a history of building and inspiring high-performing computational teams in a matrixed environment.

Proven track record of applying computational approaches
to a drug discovery and development pipeline.

Knowledge of biopharmaceutical regulatory processes

Demonstrated experience with multi-omics data integration (e.g., metabolomics, proteomics)

and systems biology modeling.

Expertise in microbiome research
is a plus, including the analysis of metagenomic

sequencing, microbial genomics, and microbial community ecology.

Proven ability to workindependently

and take ownership of operational tasks.

Exceptional problem-solving skills

and
a proactive, "can-do" attitude.

Outstanding written and verbal communication skills

with the ability to articulate complex computational concepts to diversescientific and business audiences and the ability to collaborate effectively with scientists and technical staff.

Fluent English language skills required

German language skills are a plus.