Career Compass Featured Jobs featured
Director of Computational Biology and Bioinformatics director
Institute for Protein Innovation, Boston, Massachusetts
Job description: The Institute for Protein Innovation (IPI)is a nonprofit research organization advancing protein science to accelerate research and improve human health. Founded in 2017 and located in Boston’s Longwood Medical Area, the Institute’s three-pronged strategy is to build protein tools, conduct related internal research and develop educational programs for the protein science and biological research communities.
With a significant endowment, IPI uniquely combines the freedom of academia with the high throughput and scale of industry to take on transformative projects. IPI has built a robust platform for discovering, developing, and distributing synthetic antibodies and other protein tools to share with the biomedical community. The Institute's deep protein expertise, collaborative spirit and research tools are powering new biomedical and therapeutic discoveries with a growing community of researchers at Harvard Medical School, Boston Children's Hospital and other institutions across Greater Boston and beyond.
Purpose
The Director of Computational Biology and Bioinformatics will lead and manage the computational biology and bioinformatics team. The successful candidate will be responsible for developing and implementing computational strategies to support cutting-edge research and development in the fields of protein science, antibody discovery, proteomics, systems biology, scientific databases, machine learning, and others. This role will involve collaboration with cross-functional teams to drive the discovery and development of novel molecules, technologies, and scientific publications. This individual will be a key member of IPI's scientific leadership team.
Primary Areas of Responsibility
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Lead and mentor a team of computational biologists and bioinformaticians, fostering a collaborative and innovative work environment.
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Develop and execute strategic plans for the computational biology and bioinformatics group aligned with the organization’s goals.
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Manage project timelines, budgets, and resources to ensure successful project delivery.
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Work closely with other departments to ensure computational support for various research and development projects. This group will initially support IPI's research platforms, internal databases, and external product catalogs of antigens and antibodies.
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Drive the development of new computational tools, pipelines, and platforms to enhance data analysis capabilities. These include but are not limited to in vitro antibody discovery data, protein biophysical characterization, proteomic analysis, and others.
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Ensure the integration and analysis of large datasets to generate actionable biological insights.
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Collaborate with experimental scientists, data scientists, and other stakeholders to design and interpret experiments, providing data-driven recommendations.
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Communicate complex computational analyses and results to both technical and non-technical audiences.
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Stay current on the latest advancements in computational biology and bioinformatics and incorporate relevant technologies and methodologies.
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Promote adopting best practices in data management, reproducibility, and collaborative research.
Faculty Biostatistics & Epidemiology – Collaborator for the Lou Ruvo Center for Brain Health brain
Cleveland Clinic
Job description: The Cleveland Clinic Department of Quantitative Health Sciences has a faculty opening, at the Cleveland Ohio Main Campus, for an early to mid-career biostatistician with interest in a long-term commitment to lead biostatical collaborations with Cleveland Clinic's Lou Ruvo Center for Brain Health (LRCBH). The center is dedicated to the care of patients with memory loss, dementia and other cognitive/behavioral disorders of aging, the pursuit of a better understanding of the underlying pathobiology of these disorders, and the development of more effective treatments. The center is located on the main campus of the Cleveland Clinic in Cleveland, Ohio. The LRCBH is home to the NIA sponsored Cleveland Alzheimer’s Disease Research Center (CADRC) and has a Research Center of Excellence designation by the Lewy Body Dementia Association. The research budget at the center is over 25 million dollars.
The primary need for the next five-eight years is for the statistical expert to be able to leverage multiplex analyte platforms, proteomic data, and MRI/PET imaging along with clinical variables to help develop data driven disease progression models and risk assessment. The successful candidate will lead biostatistical design and analysis for observational studies and clinical trials. Additional expertise in one or more of the following areas would be desirable: novel clinical trial design, developing computational pipelines for high-dimensional data analysis, modelling multidimensional datasets, machine learning, omics analyses, longitudinal modeling, structural equations modeling, use of electronic medical record data, and adaptive network analysis. Currently the center employs one Master’s degree Biostatistician whom the new hire will oversee and mentor. LRCBH investigators seek expertise from a PhD-level scientist for addressing complex research questions in neurodegenerative disease research, database management and study design.
This is a hard-money position with no explicit requirements to obtain salary support.
The position is 70% collaboration and 30% protected time for independent research.
The position includes an appointment to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University at rank commensurate with experience. Candidates should enjoy collaborating on and bringing creative analytic approaches to complex problems in neurodegenerative disease research and have a strong desire to publish journal articles. Excellent English written and oral communication skills are essential.
The Department of Quantitative Health Sciences has 30 faculty and over 130 members. Areas of disciplinary research application include biostatistical methods, clinical trials, population health, statistical genetics, bioinformatics, statistical computing, predictive modeling, and computational biology. For more career information see the Quantitative Health Sciences Career site.
The metropolitan and suburban areas of Cleveland comprise a population of over 3 million, rich in cultural resources and diversity. The city itself is centrally located to several other large cities and enjoys a low cost of living index. Cleveland Clinic is among the world’s largest, busiest health centers, and ranked the second-best U.S. hospital by U.S. News & World Report.
Cleveland Clinic is pleased to be an equal employment/affirmative action employer: Women/Minorities/Veterans/Individuals with Disabilities are encouraged to apply.
We are a smoke/drug free environment.
Senior Postdoctoral Fellow / Staff Scientist in Quantitative Single Cell Systems Biology postdoc
Vanderbilt University, Molecular Physiology and Biophysics, Nashville, Tennessee
Job description: The Neuert Lab at Vanderbilt University School of Medicine in Nashville, Tennessee, is seeking a highly motivated Ph.D.-level researcher to join our team. Our lab focuses on quantitatively understanding the fundamental molecular mechanisms of signal transduction and gene regulation in single cells. We are particularly interested in candidates with expertise in computational and experimental single-cell biology, with a focus on signaling or transcription.
AI Scientist ai
HHMI Janelia, Ashburn, Virginia
Job description: The Artificial Intelligence (AI) Scientist is an outstanding independent scientist who develops, implements, and executes innovative AI-based research projects in the pursuit of biological discoveries or the generation of new research tools. AI Scientists create, lead, or participate in research projects of highly variable scale, ranging from individual work to HHMI-wide strategic initiatives. The AI Scientist will work closely with scientists from across the broader HHMI community. They participate in, build, or supervise highly collaborative research teams consisting of other scientists, engineers, and technicians. We are hiring multiple AI Scientists and are open to various levels of experience.
What We Provide:
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A competitive compensation package with comprehensive health and welfare benefits. In addition to the base salary described below, this position may also be eligible for incentive pay.
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Generous training and travel opportunities to workshops and conferences.
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Access to state- of- the- art computational infrastructure and extended capabilities provided through assistance from Janelia’s Support teams and Project teams.
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A healthy work-life balance, with on-site childcare, free gyms, on-campus housing, vibrant social and dining spaces, and shuttle-bus service to Janelia from Washington, DC metro area!
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Flexible work arrangements are available.
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Relocation assistance provided for non-local candidates who wish to transition to the Washington, DC, metro area.
What You'll Do:
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Plan, initiate, and rigorously execute independent or collaborative AI-based research; may oversee personnel and budgets toward this goal.
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Perform scientific duties on new and varied problems where only general objectives are stated.
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Explore and develop new methods, skills, and tools. Make research outputs available through peer-reviewed scientific publications, high-quality datasets, code, and applications.
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Collaborate with other scientists, engineers, and technicians across project teams.
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Initiate and be flexible to transfer between projects and groups as appropriate and participate in reviewing other projects and scientists and providing constructive feedback and guidance.
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Perform advanced development work to obtain and maintain technical leadership in the field of AI.
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Assist HHMI and Janelia leadership in planning and execution of program-wide initiatives; ensure coordination with related efforts or other projects and research areas.
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Explore and develop new methods, skills, and tools. Make your research outputs available through peer-reviewed scientific publications, high-quality datasets, code, and applications.
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Adhere to the highest academic, scientific, and ethical standards in all professional activities, including the responsible use of AI technologies.
