Becton Dickinson

Becton Dickinson

Senior Bioinformatics Scientist

USA MD - Sparks - 7 Loveton Circle, USA · Senior · Contract

Sponsorship not specified$96k-$153kDetected 15 days ago
PythonAlgorithmsSQLData AnalysisData ScienceData VisualizationStatisticsProcess ImprovementSystems EngineeringBioinformaticsExperimental DesignCommunicationCollaborationProblem SolvingOrganizational Skills

About the role

  • As a result of the combination of the BD Biosciences and Diagnostic Solutions business with Waters Corporation (NYSE: WAT), by applying to this role, you will be applying for a position with Waters.
  • With a focus on regulated, high-volume testing environments, Waters' innovative portfolio harnesses deep scientific expertise across biology, chemistry, and physics.
  • Advancing the world of health™ is our Purpose, and it's no small feat.

Responsibilities

  • Innovate, develop, train and validate automated algorithms to translate extensive microbiological datasets into clinically actionable decisions.
  • Collaborate to develop descriptive models and metrics from instrument platform data to enable exploratory data analysis and decision algorithm training.
  • Support project team activities by developing and maintaining algorithm and data analysis pipelines that collect, process and analyze, and display experimental data.
  • Collaborate with clinical and project teams to plan and analyze studies, experiments, and surveys
  • use statistics fundamentals to support and facilitate strategic decision making for management and project teams.
  • Program, document, and validate software code to execute data handling tasks, perform data analysis and produce data visualization results.
  • As a member of the R&D systems engineering and bioinformatics team, assist teams with identifying design risks and work to implement process improvement initiatives.
  • Review and/or prepare formal written reports/documents for distribution within and outside the department.
  • Collaborate with clinical and project teams to plan and analyze studies, experiments, and surveys; use statistics fundamentals to support and facilitate strategic decision making for management and project teams.
  • Ability to interpret project level requirements and develop programming specifications, as appropriate

Requirements

  • 3+ years of equivalent experience
  • Proficiency with Python, R, or similar data scripting / programming language is required
  • Demonstrated database management skills and familiarity with SQL required
  • Strong communication skills and ability to discuss data, modeling, and analysis with technical and non-technical audiences
  • A high degree of professionalism, customer focus, and organizational skills is required
  • Required Experience:

Nice to have

  • Bachelor's degree in Computer Science/Engineering, Bioinformatics, Statistics or a related field is required
  • Masters degree in Computer Science/Engineering, Bioinformatics, Statistics or a related field preferred
  • Coursework or experience in statistics fundamentals
  • Experience with Software production and Test management tools
  • Preferred Experience:
  • Knowledge in clinical microbiology is a plus.

Compensation

  • $95,900.00 - $153,400.00 USD Annual

Benefits

  • Waters is a global leader in life sciences, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service.
  • BD is one of the largest global medical technology companies in the world.
  • Prior experience working within a regulated device or healthcare industry is preferred

Company info

  • Present analyses and interpretations to internal and external customers.
  • We are the people who give possibilities purpose

Visa & Work Authorization

  • We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientatio
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This listing is sourced directly from Becton Dickinson's careers page and normalized into a canonical job model.