About ThinkBio.Ai
ThinkBio.Ai is revolutionizing the biopharmaceutical and healthcare fields with AI-powered resources. Our five specialized teams—clinical, science, AI, software, and managed services—work together to develop AI-based solutions that are deployed horizontally (data platforms and workflow tools) and vertically (clinical focus areas such as oncology, autoimmune diseases, and cardiology). Our mission is to help our clients find answers to their toughest questions and to accelerate the application of scientific breakthroughs in the clinic.
Position Summary:
We are seeking a highly motivated individual with expertise in computational biology to join our team as a Postdoctoral Fellow or Scientist, depending on experience level. The position will involve developing and applying computational methods to integrate multi-omics data for disease modeling and understanding biological mechanisms. The successful candidate will have a PhD in computational biology, bioinformatics, systems biology, or a related field, with a deep understanding of analyzing large-scale biological datasets. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term, while candidates with at least two years of postdoctoral fellowship or industry experience will be considered for a Scientist position.
Key Responsibilities:
- Apply deep domain knowledge in computational biology to develop and refine disease models using diverse biological data.
- Integrate multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to identify key biological insights and mechanisms.
- Develop and implement computational pipelines and algorithms for the analysis of complex biological data from public and proprietary sources.
- Stay up to date with the latest advancements in computational biology, bioinformatics, and systems biology to incorporate cutting-edge research into disease modeling efforts.
Collaboration & Project Management:
- Work closely with cross-functional teams, including disease domain experts, experimental scientists, and software engineers to enhance translational research efforts.
- Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives.
- Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators.
- Publish research findings in high-impact, peer-reviewed journals.
- Present work at scientific conferences, symposia, and internal research meetings.
- Contribute to grant applications and funding proposals where relevant.
Qualifications & Experience:
- PhD in computational biology, bioinformatics, systems biology, or a closely related field.
- Strong expertise in analyzing and interpreting large-scale biological datasets, including genomics, transcriptomics, proteomics, or metabolomics.
- Solid understanding of disease biology, with the ability to contextualize computational findings within broader disease mechanisms.
- Proficiency in programming languages commonly used in computational biology (e.g., Python, R) and experience with relevant software tools and databases.
- Excellent verbal and written communication skills, with the ability to convey complex computational concepts clearly.
Preferred:
- Experience with machine learning or artificial intelligence techniques applied to biological data.
- Previous experience working in a multidisciplinary research environment.
- Familiarity with cloud computing environments and high-performance computing.
Other Considerations:
- Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance.
- Candidates with at least two years of postdoctoral experience in computational biology/bioinformatics in either academia or industry will be hired as Scientists with opportunities for career advancement.
Why Join Us?
- Work at the cutting edge of computational biology and disease modeling.
- Contribute to groundbreaking disease modeling and omics integration efforts.
- Collaborate with leading experts in multiple disease domains.
- Competitive salary, benefits, and career development opportunities.
Application Instructions:
Interested candidates should submit a cover letter and CV to careers@thinkbioai.com.