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Postdoc Data Science Remote Jobs in Syracuse, NY

YO AI Labs

Biology Research Scientist - Remote

Phoenix, NY · Remote

$50 - $70/hr

Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate ... Scientific Data Interpretation * Evidence-Based Reasoning * Technical Documentation Qualifications

YO AI Labs

Physics Expert - Remote

Phoenix, NY · Remote

$80 - $160/hr

Identify and articulate meta-level criteria for evaluating the robustness, validity, and scientific ... Experience supervising PhD students, postdoctoral researchers , or equivalent research leadership ...

YO AI Labs

GIS/Geospatial Expert

Phoenix, NY · Remote

$80 - $100/hr

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

YO AI Labs

GIS/Geospatial Expert

Phoenix, NY · Remote

$80 - $100/hr

... Science . No prior AI training experience is required. What matters most is your ability to apply ... Provide expert analysis, feedback, and practical examples related to GIS, geospatial data, remote ...

micro1 AI

Bioinformatics Software Engineer

Syracuse, NY · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance ...

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Postdoc Data Science Remote information

See Syracuse, NY salary details

$56.8K

$67.2K

$127.5K

How much do postdoc data science remote jobs pay per year?

As of Sep 1, 2026, the average yearly pay for postdoc data science remote in Syracuse, NY is $67,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $58,800.00 per year, depending on experience, location, and employer.

What is a postdoc data science remote?

A Postdoc Data Science Remote position is a postdoctoral research role focused on data science, where the work can be performed entirely or mostly from a remote location rather than on-site at a university or research institution. These positions typically involve advanced research in areas such as machine learning, statistics, or computational modeling, and are intended for individuals who have recently completed a PhD. Remote postdoc roles offer flexibility in work location while still providing opportunities to collaborate with academic or industry teams, publish research, and further develop specialized expertise in data science.

What are the key skills and qualifications needed to thrive as a postdoc data science remote?

To thrive as a Postdoc Data Science Remote, you need an advanced degree (typically a Ph.D.) in a quantitative field, strong statistical analysis skills, and proficiency in programming languages such as Python or R. Familiarity with machine learning frameworks, data visualization tools, and cloud computing platforms like AWS or Google Cloud is often required. Excellent problem-solving abilities, self-motivation, and effective communication skills are essential for independent research and collaboration in a remote environment. These competencies enable you to conduct high-level research, contribute valuable insights, and efficiently collaborate with global teams despite working remotely.

What are some typical challenges faced by remote postdoc data scientists when collaborating with research teams?

Remote Postdoc Data Scientists often encounter challenges related to communication and coordination across different time zones and digital platforms. Building rapport and maintaining effective collaboration with interdisciplinary teams can require extra effort, particularly when discussing complex research concepts or troubleshooting data issues. To overcome these hurdles, it’s important to proactively schedule regular virtual meetings, document workflows clearly, and leverage collaborative tools for code and data sharing. Developing strong digital communication skills and being adaptable to various team dynamics are essential for success in this role.

What is the difference between Postdoc Data Science Remote vs Data Scientist?

AspectPostdoc Data Science RemoteData Scientist
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentRemote research-focused position, often academic or research institutionRemote or on-site, industry-focused, business or tech company
Employer & Industry UsageUniversities, research labs, academic institutionsTech companies, finance, healthcare, retail, industry
Common Search & ComparisonYesYes

The main difference is that a Postdoc Data Science Remote typically requires a PhD and focuses on research in academic or research settings, whereas a Data Scientist often holds a bachelor's or master's degree and works in industry, applying data analysis to business problems. Both roles may be remote, but their work environments and expectations differ significantly.

What are popular job titles related to Postdoc Data Science Remote jobs in Syracuse, NY?

For Postdoc Data Science Remote jobs in Syracuse, NY, the most frequently searched job titles are:

What job categories do people searching Postdoc Data Science Remote jobs in Syracuse, NY look for?

The top searched job categories for Postdoc Data Science Remote jobs in Syracuse, NY are:

What cities near Syracuse, NY are hiring for Postdoc Data Science Remote jobs?

Cities near Syracuse, NY with the most Postdoc Data Science Remote job openings:

Postdoc Data Science Remote jobs near you

Biology Research Scientist - Remote

YO AI Labs

Phoenix, NY • Remote

$50 - $70/hr

Full-time

Posted 7 days ago

Job description

Biology Research Scientist

Job Type: Contractor
Location: Remote
Hours: 10–20 hours/week
Duration: 1–2 months minimum, with likely extension
Start: Immediate

Job Overview

We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records.

You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning.

Key Responsibilities
  • Review primary research papers and patents to verify protein target assignments.
  • Compare target assignments against UniProt and identify discrepancies.
  • Classify target assignment errors using a structured taxonomy.
  • Propose accurate UniProt accessions where assignments are incorrect.
  • Document clear, concise, evidence-grounded reasoning for each determination.
  • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.
Required Skills
  • Protein Target Identification
  • UniProt
  • Primary Literature Review
  • Protein Biochemistry
  • Molecular Biology
  • Pharmacology
  • Binding & Functional Assays
  • Scientific Data Interpretation
  • Evidence-Based Reasoning
  • Technical Documentation
Qualifications
  • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience.
  • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments.
  • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays.
  • Experience interpreting IC50, Ki, and Kd data.
  • Currently active in a bench-based research, scientist, or associate scientist role.
  • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.
Nice to Have
  • Experience with ChEMBL, BindingDB, or PubChem.
  • Selectivity profiling or counterscreening experience.
  • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.
Screening Questions
  1. What is your highest relevant degree and how many years of industry research experience do you have?
  2. What is your experience with protein target identification and UniProt?
  3. Which binding or functional assays have you performed hands-on?
  4. Do you have experience interpreting IC50, Ki, or Kd data?
  5. Have you worked with ChEMBL, BindingDB, or PubChem?
  6. Are you currently bench-active in a research or scientist role?
  7. Are you available for 10–20 hours per week with an immediate start?