Job Opportunities

NCATS is looking for innovative partners to join its dynamic team. Learn more about current job opportunities at NCATS or across NIH and the U.S. Department of Health and Human Services (HHS). NIH and HHS are Equal Opportunity Employers.

All information provided by candidates will remain confidential and will not be released outside the NCATS search process without a signed release from candidates. The NIH encourages the application and nomination of qualified women, minorities and individuals with disabilities. DHHS and NIH are Equal Opportunity Employers. NIH is dedicated to building a diverse community in its training and employment programs.

Current Vacancies

Postdoctoral Positions in the Division of Pre-Clinical Innovation

Postdoctoral Positions in the Division of Pre-Clinical Innovation

The Division of Pre-Clinical Innovation (DPI) is the intramural (i.e., on-site) research program of NCATS and is located in Rockville, Maryland, a few miles from the main NIH campus in Bethesda, Maryland. DPI focuses on early stages of the translational process, from target validation to first-in-human studies. More than 200 scientists from a variety of disciplines and across the spectrum from early-career scientists to senior leaders are responsible for advancing the diverse research portfolio of DPI. In addition to conducting cutting-edge laboratory research, DPI scientists collaborate with more than 250 research organizations worldwide.

DPI scientists work in a collaborative, team-based environment. The postdoctoral candidate will be recruited to work on the specific projects described below and will have ample opportunities to collaborate with scientists both within and outside of NCATS on additional projects. Candidates are expected to present results of ongoing work at meetings (such as internal group meetings and national conferences) and submit their work for publication in scientific journals. Postdoctoral fellows also gain additional professional skills and exposure to a variety of career paths through participation in the DPI training program.

Postdoctoral Bioengineering Positions, Division of Pre-Clinical Innovation

National Institutes of Health
National Center for Advancing Translational Sciences
Division of Pre-Clinical Innovation
3-D Tissue Bioprinting Laboratory
Rockville, Maryland

Description

NCATS’ Division of Pre-Clinical Innovation seeks applications from qualified candidates to fill postdoctoral bioengineering positions in the Division’s 3-D Tissue Bioprinting Laboratory in Rockville, Maryland. The selected candidates must have expertise in biofabrication, biomaterials or microfluidics to help establish a portfolio of functional, physiologically complex 3-D tissue models as predictive screening platforms for toxicity and efficacy drug testing. Applicants with additional expertise in microphysiological systems, immunology, neuroscience and production of induced pluripotent stem cell-derived cells will receive preferential consideration.

Core Responsibilities

The candidates will work as part of a multidisciplinary team of innovative scientists, using cutting-edge biofabrication methodologies—including 3-D bioprinting, quantitative cell imaging, histology, assay development, drug screening, data science and other cutting-edge “omics” technologiesto develop advanced cellular models for drug discovery and development. Candidates should be self-motivated, driven, thorough and careful experimentalists with the ability to multitask, think independently and work in a highly creative, interactive and fast-paced environment. They also will be expected to work independently as well-trained problem solvers in biofabrication and microfluidics, including on architectural and physiological validation of the tissues. Effective communication and presentation skills are required. The incumbents will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. They will draft technical reports, manuscripts and patent applications and will present work to internal and external collaborators as needed.

Qualifications

Each applicant for this postdoctoral position must possess a Ph.D. in bioengineering, biomedical engineering, immunology, neuroscience, cell/molecular biology, pharmacology, pathology or a related discipline relevant to 3-D tissue models. Candidates with previous experience developing and characterizing complex 3-D cell-based functional assays—including work in such areas as organoids or biofabricated tissues, biomaterials, microfluidic systems, cell imaging, histology and engineering of cells with biosensors—as well as experience using bioprinting techniques, will be considered favorably. Candidates with a strong background in immunology and tissue engineering with induced pluripotent stem cell-derived cells are encouraged to apply. Applicants must be eligible to work in the United States for any employer.

How to Apply

Interested individuals should send a cover letter, a curriculum vitae with a bibliography, a one-page research proposal/plan for a physiologically complex 3-D tissues for disease modeling and compound testing, and the contact information for at least three references to NCATSbioprinting@mail.nih.gov.

The review of applications will begin immediately and will continue until these positions are filled.

Postdoctoral Computational Biologist/Bioinformatician, Division of Pre-Clinical Innovation

National Institutes of Health
National Center for Advancing Translational Sciences
Division of Pre-Clinical Innovation
Therapeutics Development Branch
Rockville, Maryland

Description

The National Center for Advancing Translational Sciences (NCATS), a major research component of the National Institutes of Health and the U.S. Department of Health and Human Services, seeks applications from exceptional candidates to fill a postdoctoral computational biologist/bioinformatician position in the NCATS Therapeutics Development Branch (TDB), within the Division of Pre-Clinical Innovation.

TDB develops new systems, novel approaches and methodologies to achieve conceptual breakthroughs in pre-clinical therapeutics. The branch also provides collaborative access to technology and expertise in the scientific disciplines of early-discovery biology and medicinal chemistry; drug metabolism and pharmacokinetics; toxicology; and chemistry, manufacturing and controls synthesis and formulation.

Core Responsibilities

The selected candidate — a self-motivated, collaborative postdoctoral fellow — will join an interdisciplinary team with a focus on profiling different cell types and responses in the context of rare genetic diseases, infectious diseases and drug treatments. He or she will be a bioinformatician/computational biologist with experience in bioinformatic analysis of NexGen sequencing datasets, with a strong emphasis in RNA-Seq analysis (bulk and single-cell). The fellow will collaborate with researchers in other universities and Institutes and will learn pre-clinical drug development from colleagues in multidisciplinary project teams. The fellow should obtain extensive experience and skills in this training program that can be applied toward translational research for therapeutics development.

Qualifications

The ideal candidate should possess a doctoral degree or equivalent in biology, computer sciences, bioinformatics or a related discipline, with one to three years of relevant research experience. Candidates should possess strong computer programming skills in R and other required languages (e.g., Python/Perl, Java, C/C++). Experience analyzing bulk and single-cell RNA-Seq data sets is essential. The candidate also should possess strong self-motivational and problem-solving skills, as well as outstanding interpersonal and teamwork skills. Excellent analytical, organizational and time management skills are required. Experience with proteomics data sets also is preferred, but not necessary. Applicants must be eligible to work in the United States for any employer.

How to Apply

Please submit a cover letter describing your interest in the position; a current curriculum vitae and complete bibliography; and the names and contact information for three references to Dr. Wei Zheng at NCATSTDBBioHiring@mail.nih.gov.

The review of applications will begin immediately and will continue until the position is filled.

Postdoctoral Informatics Scientist

National Institutes of Health
National Center for Advancing Translational Sciences
Division of Pre-Clinical Innovation
NCATS Chemical Genomics Center (NCGC), Adenine Informatics Group
Rockville, Maryland

Description

NCATS is one of the 27 Institutes and Centers at the National Institutes of Health (NIH). The Informatics group collaborates closely with biologists and chemists to develop robust assay designs, analyze experimental outcomes and validate new hypothesis. NCATS’ informatics personnel perform a variety of ligand- and protein structure-related modeling tasks, support the drug discovery process and accelerate translational sciences. The team members also are developing infrastructure and software for the meta-analysis of high-content screens and for integration of the existing biomedical data to discover new hypothesis.

NCATS’ Informatics group is seeking a creative, self-motivated postdoctoral informatics scientist to develop new algorithms for prediction of i) protein-ligand interactions; ii) chemical reactions and comprehensive support of drug discovery projects. The postdoctoral fellow will be responsible for uploading and analyzing pilot and quantitative high-throughput screening runs; analyzing assay reproducibility; analyzing confirmation and secondary screening assays; developing and applying QSAR models and molecular modeling for virtual screening of compounds; supporting medicinal chemistry efforts; and developing new algorithms for prediction of protein-ligand interactions and chemical reactions. Research will be conducted in the NCATS Informatics group.

Qualifications

The ideal candidate will possess a minimum of a Ph.D. in computational science/bioinformatics with specialization in machine learning. He or she will have published at least three research articles as first author. The incumbent must have experience with common cheminformatics libraries and data formats (e.g., RDKit, OpenBabel, SMILES, InChi, etc.), modern software packages (e.g., MOE/CCG, OpenEye tools) and scientific programming (e.g., Python, JAVA) and data analytics (e.g., KNIME, Spotfire). He or she must be able to script work flows and implement new algorithms, have experience working with multi-disciplinary teams, and possess strong oral and written English communication skills. He or she should have experience using modern machine learning and deep learning frameworks (e.g., TensorFlow, Keras), as well as experience in developing algorithms for prediction of protein-ligand interactions and/or chemical reactions.

Applicants must be U.S. citizens, legal residents or possess a valid work permit in order to be considered for the position.

How to Apply

Please submit a cover letter describing your interest in this position, a current curriculum vitae and complete bibliography to Dr. Alexey Zakharov at alexey.zakharov@nih.gov.

The review of applications will begin immediately and will continue until the position is filled.

Postdoctoral Informatics Scientist Position, Division of Pre-Clinical Innovation

NCATS’ Informatics group seeks a creative, self-motivated, collaborative research scientist to develop new algorithms for predicting chemical reactions and to provide comprehensive support of the Center’s A Specialized Platform for Innovative Research Exploration (ASPIRE) initiative.

NCATS proposes to transform chemistry from an individualized craft to a modern, information-based science through ASPIRE. By addressing long-standing challenges in the field of chemistry — including lack of standardization, low reproducibility and an inability to predict how new chemicals will behave — ASPIRE is designed to bring novel, safe and effective treatments to more patients more quickly at lower cost.

The Informatics group collaborates closely with biologists, chemists, engineers and information technology professionals to develop robust assay designs, analyze experimental outcomes and to validate new hypothesis. The NCATS Informatics group performs a variety of ligand- and protein structure-related modeling tasks, supports the drug discovery process and accelerates translational sciences. The team members also are developing infrastructure and software for the meta-analysis of high-content screens and for integration of the existing biomedical data to discover new hypothesis.

The successful candidate will be an integral team member for the creation and maintenance of a chemical reaction database, the development of new methods for reaction normalization and standardization, the analysis of reaction screens, and the development and application of AI/Machine learning approaches for prediction of synthetic routes and chemical reactions. He or she also must have experience working with multi-disciplinary teams.

Applicants must possess a minimum of a Ph.D. in computational chemistry or a related field with 1 to 3 years of industry or academic experience. He or she should have experience using modern machine learning and deep learning frameworks (e.g., TensorFlow, Keras, sklearn, PyTorch, etc.) Applicants also should have experience with common cheminformatics libraries and data formats (e.g., RDKit, Indigo, CDK, SMIRKS, SMARTS, SMILES, InChi, etc.), as well as experience in scientific programming (e.g., Python, JAVA), data analytics (e.g., KNIME, Spotfire) and relational databases (e.g., Oracle, SQL). Additionally, applicants must be able to script work flows and implement new algorithms. Applicants also must possess strong oral and written English communication skills.

Please submit a cover letter describing your interest in this position, a current curriculum vitae and complete bibliography (all in PDF format), and three letters of reference to Dr. Alexey Zakharov at NCATSAspire-Hires@nih.gov.

The review of applications will begin immediately and will continue until the position is filled.

Stem Cell Scientist and Postdoctoral Positions, Division of Pre-Clinical Innovation

NCATS seeks applications from qualified candidates with expertise in the biology of human embryonic and induced pluripotent stem cells (iPSCs) to join the Center’s newly established stem cell program. Candidates with a strong background in cell, molecular and systems biology also are encouraged to apply.

The selected candidates will join a multidisciplinary team of innovative scientists with expertise in assay development, high-throughput and -content screening, compound management, automation engineering, bioinformatics, medicinal chemistry and various “-omics” technologies. They will work in a highly creative environment, focusing on important aspects of human pluripotency and cellular differentiation using cutting-edge technologies (e.g., single-cell analysis, deep sequencing, automated cell culture, high-throughput electrophysiology). The selected candidates also will establish new standards, quality controls, improved differentiation protocols and other resources for the iPSC field. They will be responsible for conducting research and advancing specific programs in coordination with the stem cell team leader.

The ideal candidates will be expected to work independently as well-trained problem solvers in pluripotent stem cell biology and iPSC technology. They will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. They also will draft technical reports, manuscripts and patent applications and present work internally and externally to consultants and collaborators as needed.

Each applicant must possess an advanced degree (M.D. and/or Ph.D.) in a relevant field. Exceptional candidates with master’s degrees and strong backgrounds in stem cell biology will be considered. Candidates with experience in drug discovery, cell and tissue engineering, cell signaling or quantitative biology are encouraged to apply. The ideal candidates should be team players with high scientific standards and have the ability to work in an interactive, fast-paced environment. They must be self-motivated to learn new technologies and be familiar with the methods and concepts of stem cell biology and regenerative medicine.

Interested individuals should send a cover letter, a curriculum vitae with a bibliography and the contact information for at least three references to NCATSstemcellhiring@mail.nih.gov.

The review of applications will begin immediately and will continue until the positions are filled.

Postdoctoral Fellows

National Institutes of Health
National Center for Advancing Translational Sciences
Division of Pre-Clinical Innovation
Therapeutics Development Branch
Rockville, Maryland

Description

NCATS seeks applications from qualified candidates to fill postdoctoral fellowship positions in the intramural laboratories of the Therapeutic Development Branch (TDB) within the Center’s Division of Pre-Clinical Innovation. NCATS routinely partners with external collaborators from universities, pharmaceutical and biotech companies, and disease research foundations to form multidisciplinary project teams with expertise in assay development, high-throughput screening (HTS), bioinformatics analysis, medicinal chemistry, disease-relevant biological models, and pre-clinical drug development. As such, the TDB biology group is looking for self-motivated postdoctoral fellows to work in a highly creative and collaborative team environment to advance drug discovery and drug development projects. Research conducted by members of the TDB biology group has a broad focus and spans multiple disease areas, including genetic diseases (e.g., lysosomal storage disorders, neuronal diseases, cancer and infectious diseases).

Core Responsibilities

The fellows will develop in vitro biochemical and cell-based assays for HTS of compound libraries to identify lead compounds, which will be used as tools to further understand disease pathophysiology and to be developed as therapeutics. They will learn and participate in the drug development process and will apply new technologies such as patient induced pluripotent stem cell (iPSC)-based disease models and 3-D organoids for evaluating drug efficacy and toxicity. The fellows will collaborate with researchers in other universities and NIH Institutes and present experimental findings at scientific conferences. After their training is completed, the fellows will have gained extensive experience and skills in translational research for drug discovery and development across a range of therapeutic modalities.

The fellows will communicate results to project team members and collaborators and provide updates to senior management. They will keep accurate and complete records of all scientific experiments according to established procedures and ensure that these records and raw data are properly retained. The fellows will write technical reports, manuscripts and patent applications.

Qualifications

Ideal candidates will possess a doctoral degree (Ph.D.) with a background in biology, molecular biology or pharmacology and have a strong record of high-impact publications. Experience in stem cell research (especially iPSC-derived cells) or drug screening is helpful. Fellows also can be trained in these techniques. Candidates should be independent thinkers and team players who are able to work in an interactive and high-paced environment. Candidates are expected to present results of ongoing work at meetings (such as internal group meetings and national conferences) and submit their work for publication in scientific journals. Therefore, effective communication and presentation skills are required.

How to Apply

Interested applicants should submit a resume – including a complete bibliography and the names of three references – to Dr. Wei Zheng (wzheng@mail.nih.gov).

The review of applications will begin immediately and will continue until the positions are filled.