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Overnight Computer Science Postdoc Jobs in Edgewood, MD

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Overnight Computer Science Postdoc information

What is an overnight computer science postdoc?

An Overnight Computer Science Postdoc is a postdoctoral researcher in computer science who primarily works during nighttime hours. These positions typically involve conducting advanced research, collaborating on academic papers, and contributing to ongoing projects in areas like artificial intelligence, machine learning, or cybersecurity. Working overnight may be required to align with global research teams, utilize available computing resources, or accommodate personal schedules. Applicants generally need a recent Ph.D. in computer science or a closely related field. The role helps postdoctoral researchers gain further experience and prepare for faculty or industry positions.

What are the typical challenges faced by an overnight computer science postdoc and how can they be managed effectively?

An Overnight Computer Science Postdoc often faces the challenge of maintaining productivity and focus during non-traditional working hours, which can impact work-life balance and collaboration with daytime colleagues. Managing these challenges involves establishing a structured routine, utilizing collaboration tools to stay connected with team members, and setting clear communication expectations. Additionally, it's important to prioritize self-care and leverage flexible scheduling when possible to maintain overall well-being and research effectiveness.

What are the key skills and qualifications needed to thrive as an overnight computer science postdoc, and why are they important?

To thrive as an Overnight Computer Science Postdoc, you need a PhD in computer science or a related field, strong research skills, and expertise in your chosen area of study. Experience with programming languages (such as Python, Java, or C++), data analysis tools, and version control systems like Git is critical, along with familiarity with relevant computational frameworks. Excellent problem-solving abilities, self-motivation, and strong written and verbal communication skills help you excel in independent and collaborative research, especially during non-standard hours. These competencies enable you to contribute original findings, manage complex projects, and effectively communicate results within the academic community.

What is the difference between Overnight Computer Science Postdoc vs Research Scientist?

AspectOvernight Computer Science PostdocResearch Scientist
CredentialsPhD in Computer Science or related fieldMaster's or PhD, often with specialized expertise
Work EnvironmentAcademic or research institution, often with flexible hoursIndustry labs or corporate R&D, standard working hours
Employer & IndustryUniversities, research institutesTech companies, R&D divisions
Search & Comparison IntentUnderstanding academic vs industry roles, work hours, credentialsCareer transition, industry-specific roles

The Overnight Computer Science Postdoc typically involves academic research with flexible hours and a focus on advancing knowledge in computer science. In contrast, a Research Scientist usually works in industry, with standard hours and applied research goals. Both roles require advanced degrees, but their work environments and career paths differ significantly.

Postdoctoral Fellow or Staff Scientist

Baltimore, MD • On-site

Johns Hopkins University
Colleges, Universities, and Professional Schools • 10K+ employees

$48K - $66K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


Key responsibilities

  • Design and apply computational methods to identify and prioritize candidate tumor antigens for vaccine development.

  • Collaborate with immunology and clinical teams to interpret assay results and select candidates for experimental testing.

  • Lead or co-lead the preparation of scientific manuscripts based on the research findings.


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz


Job description

Description
The Karchin Lab leads computational antigen discovery for a privately funded program developing the next generation of vaccines for the treatment and prevention of pancreatic cancer. The incumbent will develop new computational models and algorithms for predicting which tumor antigens the immune system recognizes, and will use them to discover and prioritize vaccine targets. The available data include tumor sequencing, single-cell T cell receptor data from vaccinated patients, immune assay readouts, and HLA genotypes. Candidate antigens generated computationally are tested experimentally by the program's immunology and clinical collaborators, and the two efforts run as a loop rather than a one-directional handoff.
The position calls for an established computational scientist who already has expertise in neoantigen prioritization, T cell repertoire and specificity analysis, and machine learning on biological sequence data, and who can be productive within the first month. It is not structured as a training position in which those skills would be acquired on the job or carried over from an adjacent field.
Job Responsibilities
  • Antigen discovery, 65 percent. Design new computational methods for antigen discovery. Apply these methods to identify and prioritize candidate antigens for vaccine development.
  • Scientific collaboration, 15 percent. Work directly with immunology and clinical collaborators to design analyses, interpret assay results, and prioritize candidates for experimental testing.
  • Scientific communication, 15 percent. Lead or co-lead manuscripts arising from the work.
  • Data governance and compliance, 5 percent. Handle controlled-access human genomic data in accordance with institutional and sponsor requirements.

Qualifications
Minimum qualifications
  • PhD or MD/PhD in computational biology, bioinformatics, computer science, statistics, genomics, immunology, or a closely related field, in hand by the start date.
  • A record of first-author peer-reviewed publications or preprints demonstrating independent completion of a computational research project.
  • Demonstrated ability to communicate scientific results clearly in writing and to non-computational collaborators.
Required technical expertise
  • Neoantigen prioritization
  • T cell repertoire analysis
  • T cell specificity prediction
  • Machine learning
  • Programming and computing: strong Python, fluency at the Unix command line, version control, and production use of a workflow manager such as Nextflow, Snakemake, or WDL, with experience running analyses at scale on high performance computing clusters or cloud platforms.
Conditions of employment
  • The position is on-site in Baltimore and is not eligible for remote work.
  • The incumbent must be able to obtain and maintain approval to work with controlled-access human genomic data and protected patient data.
  • Recruitment is limited to candidates currently residing in the United States. Johns Hopkins support for a visa transfer or extension may be required for a candidate already in the United States in an appropriate status.
Compensation and appointment terms
  • Salary reflects the minimum for this position; the actual offer depends on experience and on whether the position is filled at the postdoctoral or staff scientist level.
  • Standard Johns Hopkins benefits apply, including health, dental, and vision insurance, retirement contributions, and paid leave.
  • Funding is secured for three years with possible continuation, and appointments are renewed annually.
  • Mentoring toward independence and support for fellowship applications are part of the position.

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876