Post Baccalaureate Fellow- Image Analysis; local hybrid remote​/onsite

Post Baccalaureate Fellow
- Image Analysis (local hybrid remote/onsite opportunity)

Job
Employee Type:
Temporary
Division:
Cancer Research Technology Program
Facility:
Frederick: ATRF

Location:

8560 Progress Dr, Frederick, MD 21701 USA

The Frederick National Laboratory is 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.

At Frederick National Laboratory, the Cancer Research Technology Program (CRTP) is a multi-disciplinary hub where emerging technologies, biological expertise and research capabilities are developed and implemented in collaboration with intramural National Cancer Institute investigators and other researchers. Within the CRTP is CCR Volume Electron Microscopy (CVEM); in our group, scientists work in a highly collaborative environment to develop and deploy cutting-edge technologies for high-resolution 3-D volume electron microscopy (volume EM) and correlative microscopy (CLEM) of cells and tissues with research and/or clinical relevance.

Our group works on innovations in sample preparation, imaging strategies, image processing, and data visualization, analysis and handling. We have released DL models for segmentation of sub-cellular features like mitochondria and nuclei. Our open-source napari plugin empanada ((Use the "Apply for this Job" box below).) is widely used in the vEM community for DL-aided image segmentation.

This position is funded for a year and may be extended based on the availability of additional funding.

Working at a cutting-edge imaging lab in a national laboratory environment, the applicant will use a combination of manual, traditional and AI based classification and segmentation strategies to visualize and quantify features of interest from 2D and 3D electron microscopy (EM) datasets. S/he will apply these approaches to aid discovery and test hypotheses in disease settings of interest to the National Lab.

• Apply ML/DL and conventional/manual approaches to recognize features from large-volume, high-resolution EM images of cells and tissues
• Adapt and apply existing image processing workflows to EM data to generate visual and quantitative results
• Create clear documentation including appropriately structured metadata, and resilient workflows

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of Bachelor’s degree in computer science, vision science, or a closely related field from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
• No work experience required with a bachelors degree
• Fluent in using Python, and knowledge of libraries for ML/DL applications(PyTorch) and computer vision (OpenCV, scikit-image etc)
• Ability to obtain and maintain a security clearance

Candidates with these desired skills will be given preferential consideration:

• Experience with ML/DL and image processing applications, with a record of open-source solutions on Github
• Knowledge of high-performance computing environment

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, 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.

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here

32,900. USD

The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data.

The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions