What are the responsibilities and job description for the Principal Computational Scientist, Inflammation Biomarker position at BI Pharmaceuticals, Inc.?
Boehringer Ingelheim is seeking a highly motivated and talented computational data scientist (Principal level) to join our innovative Global Computational Biology and Digital Sciences (GCBDS) department focused on the discovery of novel biomarkers for immune-mediated diseases. In this role, you will play a critical part in implementing biomarker strategy and discovering novel biomarkers using cutting-edge omics technologies. You will be responsible for designing and executing preclinical biomarker studies, analyzing complex datasets, implementing machine learning, statistical and computational approaches to address complex biological challenges, and translating research findings into impactful clinical strategies. Previous experience with clinical biomarker strategy and implementation would be a significant advantage.
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, diversity and inclusion, 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 preclinical biomarker discovery strategies for immune-mediated diseases, with a focus on NGS-based approaches (e.g., RNA-seq, whole-exome sequencing, single-cell sequencing).
- Facilitate to design and conduct experimental studies, including sample collection, processing, and analysis.
- Contribute to projects focused on Identifying candidate therapeutic targets and biomarkers for immune diseases.
- Analyze complex NGS data using bioinformatics tools and pipelines.
- Integrate multi-omics data (e.g., genomics, transcriptomics, proteomics) to identify novel biomarker signatures.
- Develop and validate machine learning predictive models for disease progression, treatment response, and patient stratification.
- Collaborate with cross-functional teams (e.g., immunology, pathology, bioinformatics, clinical) to translate research findings into clinical development programs.
- Stay abreast of the latest advancements in biomarker discovery and immune-mediated disease research.
- Contribute to the preparation of scientific publications and presentations.
- Mentor junior scientists and contribute to a positive and collaborative research environment.
Requirements
- PhD in Computational Biology, Bioinformatics, Biostatistics or a related field.
- 5 years of postdoctoral or industry experience in biomarker research with deep understanding of immune disease.
- Strong expertise in NGS technologies and data analysis.
- Experience with immune-mediated diseases (e.g., inflammatory bowel disease, systemic sclerosis, pulmonary fibrosis and dermatological diseases) is highly preferred.
- Proficiency in bioinformatics tools and programming languages (e.g., R, Python).
- Excellent analytical, problem-solving, and communication skills.
- Experience in leading matrixed project team.
- Strong publication record in peer-reviewed scientific journals.
- Experience with spatial-omics technologies (e.g., spatial transcriptomics, imaging mass cytometry).
- Experience with clinical biomarker strategy and implementation.
- Extensive knowledge of computational biology, machine learning and AI.
- 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 Data
