Bioinformatics Data Scientist

Here Technologies
Charlottesville, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Charlottesville, United States of America

Tech stack

Data analysis
Bioinformatics
Computer Programming
Databases
Data Discovery
Relational Databases
Python
Information Technology

Job description

Zel Tech is seeking a highly qualified Bioinformatics Data Scientist that will provide SME support to our government customer in Charlottesville, Virginia., The Bioinformatics Data Scientist shall aide in the following areas:

  • Directs and guides DNA/RNA sequence database searches and the computational analysis of resulting data.
  • Implements end-users' needs in database searching and integration.
  • Maintains the computational infrastructure and controls the flow of samples and information for large-scale studies.
  • Provides web-based bioinformatics and access to public and proprietary relational databases.
  • Develops and applies computational tools. Works in collaboration with drug discovery project
  • Provides direct support for bioinformatics, regex queries, developing and searching key words and biological ontologies.
  • Focused data discovery and retrieval from given datasets.
  • Accurately documents and maintains detailed records of activities to assure achievement of customer driven requirements.
  • Interface heavily with principal investigators, support staff and government technical leads.
  • Work under limited supervision, making complex decisions independently and referring unprecedented issues to government leadership.

Requirements

Do you have experience in Statistics?, Do you have a Bachelor's degree?, * Must be a US citizen.

  • Active TS/SCI clearance with CI Poly
  • Three (3) or more years of experience safeguarding and handling classified material.
  • Bachelor's degree in bioinformatics, computational / quantitative biology, computer science, engineering, statistics, applied mathematics or related quantitative field and ten (10) or more years of work experience.
  • Proficiency in statistical analysis.
  • Experience with data analysis and visualization.
  • Strong programming ability in Python
  • Self-teaching and mastering unfamiliar topics.
  • Successful background check.

Preferred Requirements:

  • Master's degree and five (5) or more years of experience.
  • 5-10 years' bio data experience with 5 years WMD-Bio intelligence.
  • DOD contracting experience.

Physical Demands or Work Environment:

The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • The majority of the time is spent in an office setting.
  • Occasionally lift and/or move up to 25 pounds.
  • Specific vision abilities required include close vision, distance, vision, color vision and ability to adjust focus.
  • Frequently required to sit, use hands to finger, handle, or feel, and talk or hear.

Benefits & conditions

Pulled from the full job description

  • Referral program
  • Tuition reimbursement
  • Military leave
  • AD&D insurance
  • Health insurance
  • 401(k) matching
  • Paid time off, * Medical, Dental and Vision Insurance
  • 401k immediate vesting with company match
  • Flexible Spending Accounts
  • Health Savings Account with company contributions
  • Employee Assistance Program (EAP)
  • Bonuses for performance
  • Voluntary life/accidental death & dismemberment
  • Educational assistance and special training programs
  • Voluntary benefits (accidental, critical illness, whole life)
  • Group life insurance (Company paid)
  • Short-term and Long-term Disability Insurance (Company paid)
  • Paid Time Off (PTO), Holiday Leave, Jury Duty, and Military Leave
  • Health and fitness reimbursement
  • Referral bonuses
  • Employee discounts on various services and products

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