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Temporary Machine Learning Postdoc Jobs in Midlothian, VA

This is a temp-to-hire opportunity with room for growth for employees who demonstrate good ... Candidates who are mechanically inclined and comfortable learning different machines are encouraged ...

Machine Operator

Henrico, VA ยท On-site

$18/hr

This is a temp-to-hire opportunity with room for growth for employees who demonstrate good ... Candidates who are mechanically inclined and comfortable learning different machines are encouraged ...

TEMPORARY WAREHOUSE

Mechanicsville, VA ยท On-site

$12.77 - $15.66/hr

At Carter Machinery, we don't just offer jobs - we offer long-term careers defined by purpose ... Shift differential (if applicable) You'll gain access to real learning, real advancement, and a ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Decision Scientist III

Richmond, VA ยท On-site

$86K - $115K/yr

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United ... machine learning, in pursuit of business optimization and impact. 3. Foster communication and ...

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Temporary Machine Learning Postdoc information

What is a temporary machine learning postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Midlothian, VA?

The most popular types of Machine Learning Postdoc jobs in Midlothian, VA are:

Research Scientist - Oral & Craniofacial Molecular Biology - School of Dentistry

The Chronicle Of Higher Education, Inc.

Richmond, VA โ€ข On-site

$90 - $120/hr

Other

Medical, Retirement

Posted 5 days ago


Job description

The Philips Institute for Oral Health Research in the Department of Oral & Craniofacial Molecular Biology (OCMB) at Virginia Commonwealth University (VCU) School of Dentistry is seeking a full-time Research Scientist to join the Laboratory of Oral & Craniofacial Innovation (LOCI). The role focuses on advancing NIH-, industry-, and foundation-funded translational research to define the spatial and molecular architecture of cancer, chronic inflammatory diseases, and hostโ€“microbiome interactions.

The scientist will integrate single-cell and spatial multiomics, multiplex and deep visual proteomics, and precision-cut tumor and mucosal explant systems to create high-resolution maps of tissue microenvironments. A key responsibility is applying advanced computational and AI approaches, including machine learning and generative modeling, to build virtual tissue models, identify therapeutic targets, and test predictions in translational tissue systems.

Working with interdisciplinary teams across molecular biology, computational systems biology, and clinical oncology, the Research Scientist will translate spatial multiomic insights into precision diagnostics and next-generation therapies. Strong expertise in molecular and cellular biology, single-cell and spatial multiomics, and high-dimensional data analysis is required, with experience in cancer biology, immune-oncology, explant/organoid systems, and machine learning preferred. The position offers scientific independence and leadership in AI-enabled translational tissue modeling at VCU.

Minimum Qualifications
  • Ph.D. in molecular biology, cell biology, cancer biology, immunology, bioengineering, computational biology, or a related field
  • Minimum one (1) year of postdoctoral research experience
  • Strong expertise in molecular and cellular biology techniques
  • Experience with single-cell RNA sequencing and/or spatial multiomics, including experimental design and data interpretation
  • Experience analyzing high-dimensional biological datasets (e.g., transcriptomic, proteomic, multimodal) and familiarity with relevant computational workflows
  • Willingness to perform animal procedures in compliance within institutional and ethical guidelines
  • Ability to work independently and collaboratively within interdisciplinary teams
  • Experience mentoring trainees or junior personnel
  • Strong written and verbal communication skills with a record of peer-reviewed publications
  • Demonstrated ability to work in and foster an environment of respect, professionalism, and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a staff member at VCU
Preferred Qualifications
  • Experience in cancer biology, immune-oncology, tumor microenvironment research, or chronic inflammatory disease modeling
  • Experience with translational tissue platforms (e.g., tumor explants, organoids, precision-cut tissue slices)
  • Advanced computational expertise in bioinformatics, spatial and multimodal omics integration, including proficiency in R and/or Python
  • Experience applying machine learning, network analysis, or multicellular interaction modeling to biological datasets
  • Experience integrating transcriptomic, proteomic, and imaging-based spatial data
  • Experience designing and interpreting drug perturbation or target validation studies, ideally within pharmaceutical collaborations or drug discovery pipelines
  • Experience with syngeneic mouse models, lineage tracing, organetic manipulation (e.g., CRISPR-based systems)
  • Demonstrated ability to lead collaborative research projects and contribute to grant submissions
Benefits

All full-time university staff are eligible for VCUโ€™s robust benefits package that includes comprehensive health benefits, paid annual and holiday leave, generous tuition benefits, retirement planning and savings options, tax-deferred annuity and cash match programs, employee discounts, well-being resources, abundant opportunities for career development and advancement, and more.

Salary Range: Commensurate

FLSA Exemption Status: Exempt

Hours per Week: 40

Restricted Position: Yes

ORP Eligible: Yes

Contact Information:

Contact Name: Dr. Kevin Byrd

Contact Email: byrdk6@vcu.edu

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