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Remote Machine Learning Postdoc Jobs in Maryland

Black Canyon Consulting

UI/UX Developer

Bethesda, MD · On-site +1

This is a full-time position located at the NIH campus in Bethesda, MD and/or remote. The National ... machine learning, multiple clouds) serve more users than almost any other US Government Agency ...

Black Canyon Consulting

Project Manager

Bethesda, MD · On-site +1

This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. NCBI ... machine learning, multiple clouds) serve more users than almost any other US Government Agency ...

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Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Postdoc, and why are they important?

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
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Remote Machine Learning Postdoc jobs near you

Project Manager | Agile Scrum Master

Black Canyon Consulting

Bethesda, MD • On-site, Remote

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago

Job description

Overview

Black Canyon Consulting (BCC) is actively looking for Project Manager/Agile Scrum Master to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work. 

NCBI is part of the National Library of Medicine (NLM) at NIH. NCBI is the world's premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health - at NCBI you can literally help to accelerate cures for diseases! NCBI's wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/. 

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

 Duties & Responsibilities:
  • Coordinates the full software development lifecycle (SDLC) in a scientific environment, including defining technical and functional requirements, quality control planning, implementation, upgrades, and integration with existing NCBI systems through Agile Process methodology.
  • Position includes daily coordination of complex technical projects dealing with scientific and genomic data.
  • Participate in and provide technical and administrative expertise to software development projects.
  • Responsible for software/system design and specifications, system implementation and integration, and testing.
  • Will be responsible for tracking milestones, and producing deliverables. 
  • Balances risks, schedules, and resources. 
  • Coordinates cross-functional teams of various sizes with diverse technical skills sets.
  • Advises senior management on technical issues. 
  • Communicates project issues to stakeholders and senior management.
Required Skills:
  • Formal education (minimum: Bachelor's degree) in Computer Science or related field.
  • Requires at least 3 years of project management experience and at least 5 years of experience developing the software and/or managing the software development.
  • Strong Technical Knowledge of software application development.
  • Experience managing software development projects using Agile methodology
  • Experience coordinating work across multiple teams and departments.
  • Effective verbal and written communications.
  • Experience in delivery of complex enterprise level software development projects 
Desired Skills:
  • Master's degree preferred.
  • PMP Certification
  • Experience with scientific or biological data a plus.
  • Experience as software development technical lead.
  • Experience working with large databases, statistical analysis, and clinical data.
  • Experience in a research and development (R&D) environment with demonstrated ability to analyze problems and propose multiple solutions.
  • Experience with large distributed systems and cloud computing.
Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location. The targeted range for this position is $125,000 - $150,000.

If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Apply