Job summary
Job post source
This job is directly from CAMRIS
Job overview
The Bioinformatics Specialist role at CAMRIS supports NIH's NIAID by applying computational biology expertise to vaccine and therapeutic design against infectious diseases, impacting global health research.
Responsibilities and impact
The specialist will use molecular simulations, develop in silico and AI/ML tools for vaccine design and immune response analysis, collaborate on projects related to pathogens like HIV-1 and Influenza, mentor junior scientists, and publish research findings.
Compensation and benefits
CAMRIS offers a comprehensive benefits package including medical, dental, vision insurance, FSAs, HSA, life and disability insurance, legal services, pet insurance, 401(k) with employer match, tuition reimbursement, paid leave, and bonuses.
Experience and skills
Requires a PhD in Computational Biology or related field, 2-3 years postdoctoral experience, expertise with pathogens such as HIV-1, Influenza, or Malaria, HPC experience, strong analytical and communication skills; mentoring experience preferred.
Career development
Opportunities include mentoring interns and postbaccalaureate scientists and co-leading significant research projects, supporting professional growth in computational biology and vaccine research.
Work environment and culture
CAMRIS promotes a collegial environment valuing individual contributions, with a focus on impactful global health research and collaborative scientific work at a vibrant NIH site.
Company information
CAMRIS International is a clinical research and international development firm specializing in health and development challenges, known for innovative, cost-effective programs in vaccine and infectious disease research.
Team overview
The candidate will join a contractor team supporting NIAID research, collaborating with scientists from various organizations on infectious disease projects.
Job location and travel
The position is based at the NIAID worksite in Bethesda, MD, with a dynamic and prominent research environment.
Application process
Applicants must submit resumes online at CAMRIS.com and undergo a Public Trust-level background check including employment, education, and criminal history verification.
Unique job features
The role involves cutting-edge computational techniques like HPC, AI, and machine learning applied to vaccine design, with opportunities to publish and contribute to high-impact infectious disease research.
Company overview
CAMRIS is a global development and research firm that provides innovative solutions in health, agriculture, economic development, and humanitarian assistance. They generate revenue through government contracts, primarily with agencies like USAID and the Department of Defense, offering services such as project design, implementation, and evaluation. Founded in 1955, CAMRIS has a long history of contributing to international development and has built a reputation for using evidence-based approaches to improve outcomes in challenging environments.
How to land this job
Tailor your resume to highlight expertise in computational biology, molecular dynamics, and AI/ML applications in vaccine and protein design, as emphasized in the CAMRIS Bioinformatics Specialist role.
Emphasize experience with pathogens like HIV-1, Influenza, or Malaria, high performance computing (HPC), and collaboration on multidisciplinary scientific projects, which are key to this position.
Apply through multiple platforms including CAMRIS's official website and LinkedIn to maximize your application visibility for this specialized role.
Connect on LinkedIn with CAMRIS professionals in the vaccine research or bioinformatics divisions; start conversations by referencing recent CAMRIS research publications or expressing your enthusiasm for their work on infectious disease solutions.
Optimize your resume for ATS by incorporating keywords such as 'molecular dynamics simulations,' 'vaccine design,' 'high performance computing,' 'AI/ML tools,' and specific pathogens mentioned, ensuring it passes automated screenings effectively.
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