Structural Biologist Feathersoft

Key Responsibilities:

1. Apply deep domain knowledge in structural biology to characterize macromolecular complexes and understand their roles in disease pathways.
   
2. Integrate structural insights with multi-omics data (genomics, transcriptomics, proteomics, and metabolomics) to understand molecular mechanisms of disease.
   
3. Utilize and develop computational tools for structural modeling, molecular dynamics simulations, and ligand docking to complement experimental data.
   
4. Stay up to date with the latest advancements in structural biology, biophysics, and computational methods to incorporate cutting-edge research into disease modeling efforts.
   

Collaboration & Project Management:

1. Work closely with cross-functional teams, including disease domain experts, computational scientists, and clinicians to enhance translational research efforts.
   
2. Work with the Scientific Manager to help in project planning, execution, and reporting, ensuring alignment with research objectives.
   
3. Communicate findings effectively through reports, presentations, and discussions with internal teams and external collaborators.
   
4. Publish research findings in high-impact, peer-reviewed journals.
   
5. Present work at scientific conferences, symposia, and internal research meetings.
   
6. Contribute to grant applications and funding proposals where relevant.
   

Qualifications & Experience:

1. PhD in structural biology, biophysics, biochemistry, or a closely related field.
   
2. Strong expertise in at least one major structural biology technique (e.g., X-ray crystallography, cryo-electron microscopy (cryo-EM), NMR spectroscopy).
   
3. Solid understanding of protein structure-function relationships, macromolecular interactions, and their relevance to disease biology.
   
4. Experience in experimental design, data collection, data processing, and structure determination.
   
5. Excellent verbal and written communication skills, with the ability to convey complex structural biology concepts clearly.
   

Preferred:

1. Experience with computational structural biology tools (e.g., Rosetta, AlphaFold, molecular dynamics software).
   
2. Previous experience working in a multidisciplinary research environment.
   
3. Familiarity with AI/ML approaches in structural biology or drug discovery.
   

Other Considerations:

1. Fresh PhD graduates will be hired as Postdoctoral Fellows for a two-year term with an opportunity for promotion to Scientist based on performance.
   
2. Candidates with at least two years of postdoctoral experience in structural biology in either academia or industry will be hired as Scientists with opportunities for career advancement.