Careers
Career and Post-Doc Opportunities
Posted 8/22/24
Postdoctoral Research Associate
The George Washington University
In the Computational Biology Institute, within the Milken Institute School of Public Health’s Department of Biostatistics and Bioinformatics, this role will conduct research in phylogenetics and evolutionary biology of barnacles and work together with the PI (Pérez-Losada), collaborators and graduate students.
For more information, and to apply, please go to https://www.linkedin.com/jobs/view/3996787190/?refId=0UKzp4CCRHm8S54ueSFbtA%3D%3D&trackingId=0UKzp4CCRHm8S54ueSFbtA%3D%3D
Posted 8/8/24
Postdoctoral Fellowship Position
NIAID, NIH
The National Institute of Allergy and Infectious Diseases (NIAID), one of the largest institutes of the National Institutes of Health (NIH) and part of the Department of Health and Human Services (HHS), conducts and supports a global program of research to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases.
The Computational Systems Biology Section in the Laboratory of Immune System Biology, NIAID, seeks candidates for a quantitative experimental biology postdoctoral fellowship position. Located on the NIH main campus in Bethesda, Maryland, this fully funded position will allow the successful candidate to work in a highly collaborative interdisciplinary environment as part of a team of experimentalists and computational modelers.
This position will focus on using 3D high-resolution microscopy techniques (spinning disk confocal and others) to acquire dynamic images (movie image stacks) as a basis for spatially resolved computational models of cellular processes, such as chemotaxis and contact-mediated cell activation. The goal of the work will be to analyze how inhomogeneous and dynamic spatial distributions of signaling molecules such as immune receptors, receptors for adhesion, and receptors for sensing chemoattractants shape polarized cellular responses.
The laboratory has developed unique computational modeling techniques that ideally complement the experimental work.
This position will offer interested candidates the opportunity to acquire a well-rounded, interdisciplinary skill set by combining experimental work with training in computational modeling.
For more information, and to apply, go to https://www.niaid.nih.gov/about/postdoctoral-fellowship-position-laboratory-immune-system-biology?utm_medium=social&utm_source=linkedin&utm_campaign=nc_postdoc_lisb_7222024
Posted 7/17/24
Bioinformaticist
NIH
DataTecnica (DT) invites applications for this currently open position at the new Center for Alzheimer’s and Related Dementias (CARD) at the National Institutes of Health. We facilitate growth for the research portfolios of numerous global initiatives in neurodegenerative disease space, with a focus on Alzheimer’s and related dementias.
This position would support bioinformatics efforts focused on integrating large-scale multi-modal data types in various research applications – genetics, transcriptomics and other omics data, in particular long read sequencing, spatial-omics and single cell/nucleus sequencing. The main responsibilities for this position include the implementation, execution and maintenance of common research pipelines. This focuses on generating plots, tables and figures and presenting analysis updates to colleagues regularly. There are some opportunities to contribute to collaborative and creative research as well. For specific details, please see below.
Preferred qualifications:
- BS + experience, MS or PhD in bioinformatics, molecular biology, neuroscience or similar field
- Python and R proficiency
- Experience with distributed, parallel and/or cloud computing (NIH Biowulf and google cloud ideal)
- Knowledge of short and long read sequencing technologies
- Familiarity with Docker and/or Singularity container software
- Streamlit and / or Rshiny
Scope of work:
- Develop and deploy data processing and QC pipelines at scale
- Statistical analyses and annotation of sequencing data
- Management and sharing of public datasets
- Knowledge transfer
Additional notes: This position will include opportunities to grow your bioinformatics and data science skills as well as publish high impact research in collaboration with NIH initiatives we support. As this is an NIH contract opportunity, a US work permit, citizenship or green card are required. Hybrid work scenarios with part time on the NIH campus is required (Washington DC metro area), with ~3 days needed on NIH campus per week. This position is for long term support of ongoing and growing research portfolios, empowering candidates to grow with the team. Compensation is commensurate with experience, ranging generally from $70k-140k per year.
Interested candidates should submit their application, including CV, cover letter, code example (github) and emails of potential references (if available) to info@datatecnica.com. Review of applications will begin immediately. All compensation and benefits are negotiable and in line with current glassdoor estimates, commensurate with experience.
Posted 7/12/24
Bioinformatics Postdoctoral Researcher position
University of Mississippi
The MISA lab (Microbial Interactions in Sustainability and Astrobiology) at the University of Mississippi seeks a bioinformatic postdoctoral researcher to work with a large metagenomic dataset from a number of extreme environments, as well as other datasets and projects related to astrobiology and sustainability. The position is for one year, with the possibility of renewal, depending on progress and funds. The researcher will have the opportunity to work on current analyses and publications with the PI, as well as develop their own research questions and publications. The postdoc will also assist with training graduate students in the lab in bioinformatics and analyses as needed. This position can be remote.
Experience with metagenomics, genome assembly, and annotation (MetaSpades, PROKKA, Hidden Markov Models, etc.), multivariate statistics, and phylogenetic tree building using functional genes and protein sequences is required. Experience with analyses in microbial multi-omic datasets (metabolomic, lipidomic, RNAseq, etc.), and integration of such datasets, is highly preferred. Experience with datasets using both short and long read sequencing (Illumina and MinION) is also preferred.
Please send a copy of your CV including publications, cover letter describing your interest in the position, and research expertise to Dr. Becks Prescott at becks@olemiss.edu or rebeccap@hawaii.edu. Review of applications begins July 15th.
Posted 7/2/24
Postdocs
Cornell University
The Faltas Lab at Weill Cornell Medicine in New York City is seeking motivated postdoctoral fellows and research associates to join our dynamic team. The Faltas lab focuses on the mechanisms that induce genome instability in urothelial cancer, the resulting intra-tumor heterogeneity, and the evolution of drug resistance and metastasis. We use a multidisciplinary approach integrating experimental models, including cell lines, patient-derived organoids, and animal models, with cutting-edge computational biology techniques. Research from the Faltas Lab has been published in Nature, Nature Genetics, Nature Communications, Cancer Research, and other high-impact journals. The laboratory is supported by grants from NCI (R37 MERIT award funding for the next 7 years), the Department of Defense and the Starr Cancer Consortium.
Based in New York City, our team thrives in a vibrant, culturally rich environment, offering numerous networking and academic opportunities in this global hub of innovation. We offer competitive salaries. Weill Cornell Medicine provides comprehensive benefits, including health, dental, and vision insurance coverage and subsidized housing. Mentoring is a priority for Dr. Faltas, and the laboratory offers a rich and diverse scientific environment for professional development. Experience at the Faltas Lab fosters substantial career growth, paving the way for advanced research roles.
Ongoing and future projects in the lab:
1. Investigating the role of APOBEC3 cytidine deaminase mutagenic enzymes in driving intra-tumor heterogeneity and the biological function of APOBEC3-induced mutations and RNA-editing.
2. Investigating the role of structural variants, such as extrachromosomal DNA, in the evolution of therapy resistance.
3. Translational projects leveraging our findings for personalized therapy and drug development for patients with urothelial cancer and other cancers.
Ideal Candidates:
· Ph.D. in molecular biology or biochemistry or related fields with a strong background in cancer biology.
· Excellent skills in basic molecular biology and biochemical techniques, including cloning, SDS-PAGE western blotting, qPCR, functional assays, and mammalian cell culture.
· Experience in mouse experiments, such as tumor xenograft models and tail vein injections, is a plus.
· Familiarity with basic R or Python is a plus but not required.
· Excellent communication, organizational, and problem-solving skills.
· Track record of productivity (publications) from Ph.D. is a plus.
Interested applicants are encouraged to send their CV, including a Statement of research interests, Copies of previous publications, and Names and contact information of three references, to Dr. Bishoy M. Faltas, bmf9003@med.cornell.edu before the application deadline.
Posted 6/28/24
Postdoc Research Fellow
National Library of Medicine (NLM)
Dr. Augustin Luna of the NLM/NCI Intramural Research Programs seeks postdoc research fellows interested in applying artificial intelligence and machine learning to cancer precision medicine. There are two open positions: Cancer Computational Biologist and Data Science/NLP/Computational Researcher. Applications will be accepted until the positions are filled.
Posted 6/5/24
Emerging Leaders in Data Science Fellowship
NIAID
This fellowship addresses a critical need at NIAID for expertise in data science and ability to apply those skills to the NIAID mission. It aims to establish a cadre of talented data scientists (i.e., expertise in biomedical informatics, computational biology, epidemiology, computer science, engineering, applied mathematics, statistics, or related fields) with a keen interest in applying their knowledge and skills to advance NIAID’s research mission. This fellowship is managed by NIAID's Office of Data Science and Emerging Technologies (ODSET).
About the Fellowship
The fellowship is project-oriented; fellows will participate in various data science related projects. This is a one-year fellowship and may be renewable for a second year. Projects will involve collaborations between the ODSET and NIAID intramural and extramural Divisions and Offices. NIAID also encourages fellows to participate in a variety of developmental opportunities during their fellowship to broaden their perspectives on NIAID's research mission and data science needs, strengthen technical competencies, and further develop leadership abilities.
Fellows will receive training and hands-on experience in data analytics, informatics strategies, computational platforms, and software development to study infectious diseases and immune-mediated disorders in NIAID’s intramural and extramural programs. They will receive training at the intersection of disease-oriented and data-intense research efforts.
Who Can Apply
Applicants must be U.S. citizens and must have a master’s or doctoral degree earned within the past 5 years or anticipated prior to appointment date.
Degree should be in computer sciences; engineering; physical sciences; or life, health, or medical sciences.
How To Apply
The program is administered by Oak Ridge Associated Universities (ORAU) that manages the Oak Ridge Institute for Science and Education (ORISE) and has been established through an interagency agreement between the Department of Energy and NIAID.
Applications Deadline: Applications will be reviewed on a rolling-basis and selections made as projects for participation become available.
Posted 6/5/24
Computational Scientist I
Leidos Biomedical Research Inc.
Job ID: req3948
Employee Type: exempt full-time
Division: Clinical Monitoring Research Program
Facility: NIH
Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA
The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.
Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.
PROGRAM DESCRIPTION:
Within Leidos Biomedical Research Inc., operator of the Frederick National Laboratory for Cancer Research, the Clinical Monitoring Research Program Directorate (CMRPD) provides high-quality comprehensive and strategic operational support to high-profile domestic and international clinical research initiatives sponsored by the National Cancer Institute (NCI), the National Institute of Allergy and Infectious Diseases (NIAID), the National Institutes of Health (NIH), and several other institutes within NIH. CMRPD’s ability to provide rapid responses and high-quality solutions, and to recruit and retain experts with a variety of backgrounds, allows the directorate to facilitate strategic support to the growing clinical research portfolios of NCI, NIAID, and other NIH divisions/offices/centers. CMRPD’s support services are aligned with the program’s mission to provide comprehensive clinical trials operations and program/project management services to advance scientific clinical research that complies with applicable regulations and guidelines, maintains data integrity, and protects human subjects. CMRPD services include clinical trials monitoring, regulatory affairs support, clinical safety oversight, protocol navigation/protocol development, and programmatic and project management support to facilitate the conduct of more than 400 Phase I, II, and III domestic and international trials annually. These trials investigate the prevention, diagnosis and treatment of cancer, influenza, HIV, infectious diseases and emerging health challenges like Ebola virus and COVID-19, heart, lung, and blood disorders, parasitic infections, and rare and neglected diseases. CMRPD’s collaborative approach to clinical research support and the expertise and dedication of staff to the continuation and success of CMRPD’s mission has contributed to improving the overall standards of public health on a global scale.
The Clinical Monitoring Research Program Directorate (CMRPD) provides essential program/project management expertise to support the National Institute of Mental Health (NIMH), Data Science and Sharing Team (DSST).
The Data Science and Sharing Team (DSST) (http://cmn.nimh.nih.gov/dsst) is responsible for leading and supporting data-intensive scientific projects within the NIMH Intramural Research Program (https://www.nimh.nih.gov/labs-at-nimh/index.shtml) (IRP). The DSST works closely with the Machine Learning Team (http://cmn.nimh.nih.gov/mlt) who develop and apply new analyses to better understand complex brain function and disease.
DSST also works to implement the Office of Science and Technology Policy’s (OSTP’s) (https://www.whitehouse.gov/ostp/) policy guidance (“Ensuring Free, Immediate, and Equitable Access to Federally Funded Research”, (https://www.whitehouse.gov/ostp/news-updates/2022/08/25/ostp-issues-guidance-to-make-federally-funded-research-freely-available-without-delay/) to increase public access to federally funded research, foster greater collaboration and innovation, and strengthen public trust.
KEY ROLES/RESPONSIBILITIES:
- Works with a team of researchers and developers to build and deploy data processing pipelines in collaboration with NIH investigator. NIH High Performance Computing (HPC) Cluster (https://hpc.nih.gov/) resources will be available at your disposal as well as cloud compute infrastructure through the [STRIDES Initiative] (https://datascience.nih.gov/strides). Everything created is open source and freely distributed.
- Works to bolster data science skills within the NIH by teaching courses to scientists on best data practices (e.g. Software and Data Carpentries (https://carpentries.org/), BrainHack Global (https://brainhack.org/global2023/). Must have a dedication to open science concepts.
- Interfaces with specific neuroimaging repositories (e.g., The Adolescent Brain and Cognitive Development Project, OpenNeuro, UK Biobank, The NIMH Data Archive).
- Implements and contributes to projects throughout the world that are building standards and tools for open and reproducible neuroscience (e.g., OpenMicroscopy (https://www.openmicroscopy.org/), BIDS (http://bids.neuroimaging.io/), Neurodata Without Borders).
- Codes in modern languages currently used in data-intensive, scientific computing (e.g., Python or R) and version control systems like git.
- This position is located in Bethesda, MD. This position is hybrid with 2-3 days on-site, in Bethesda, MD. Flexibility required.
BASIC QUALIFICATIONS:
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of a PhD degree in computer science or a related field from an accredited college or university according to the Council for Higher Education Accreditation (CHEA). Foreign degrees must be evaluated for U.S. equivalency
- No work experience required with a Doctorate degree
- Motivation to develop and research their own ideas
- Ability to obtain and maintain a security clearance
PREFERRED QUALIFICATIONS:
Candidates with these desired skills will be given preferential consideration:
- One to two (1-2) years of relevant work experience
- Experience with distributed, high-performance computing tools such as Docker (https://www.docker.com)/ Singularity (https://singularity.lbl.gov) and batch processing systems such as SLURM (http://slurm.schedmd.com/)
- Experience with data management of microscopy and/or medical images
- Experience with front-end development and visualization with JavaScript
- Ability to provide concrete examples of code, ideally checked in to an online repository like Github or BitBucket and any associated publications or pre-prints
Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Posted 5/7/24
Biotechnology and Life Science Lab co-director
Thomas Jefferson High School
Job Responsibilities
The Biotechnology and Life Science Lab co-director will mentor students through independent research projects during their senior year. Students develop research proposals during the first quarter, participating in anonymous peer review and revision. The Lab Director provides feedback, mentoring, budget management guidance and support students through data analysis, research papers, and tjSTAR presentations. TheLabDirectorisresponsiblefororderingnecessaryreagentsforeachstudentproject and orders general and specific supplies, manages biohazardous waste, and equipment maintenance. The Lab Director may take students out into the field for sample collection, depending on the project, and facilitate collaborations with outside professionals and institutions. The Lab Director is responsible for lab prep for both elective courses and senior research and working collaboratively with the Co-Lab Director.
Content Knowledge
The Lab Director is also responsible for teaching DNA Science 1 and 2 electives. DNA Science 1 is a prerequisite for acceptance into the Biotechnology and Life Sciences Lab. A successful candidate should have experience in most of the project areas below and be willing to learn new skills as needed, as well as have experience working either in an academic or research setting.
Projects may include but not limited to the following:
- Mammalian tissue culture (eukaryotic cell biology/proliferation assays/gene expression)
- Microbiology (prokaryotic cell biology/biofilm/bacteriophage)
- Molecular biology (DNA/RNA/protein extraction, recombination, detection, gel electrophoresis, etc.),
- Imaging (confocal microscope)
- Next generation sequencing (16S/ITS, etc.)
Skills Desired
Collaborator, Ability to Plan, Multitasking, Manage Research Lab, Facilitate Lab Experiments, Project-Management, Budget Management
Content-related Skills
Micro pipetting * basic microbiology methods (streaking plates, overnight cultures) * micro-Bradford assay* restriction digestion *gel electrophoresis * bacterial transformation * ligation *miniprep *PCR, qPCR * SDS-PAGE* ELISA * CRISPR * Image Analysis*
Interested applicants should email a resume to Yaara Crane, Assistant Principal, at ykcrane@fcps.edu.