Senior Data Analyst with Biotech Expertise

4 weeks ago

Lexington, Kentucky, United States RAIS USA Full time

Job Summary:

We are seeking a highly analytical and detail-oriented Business Data Analyst with expertise in Biotech R&D data and applications. The ideal candidate will be crucial in transforming complex data into actionable insights that support decision-making processes in biotech research and development.

This position requires a deep understanding of biotech R&D data, bioinformatical sciences, pharmacological sciences, and histology data and applications, and the ability to translate business needs into data-driven solutions.

The Business Data Analyst will work closely with R&D, IT, and business teams to ensure that data is accurately captured, analyzed, and utilized to drive innovation and efficiency.

Key Responsibilities:

  • Work with IT and R&D teams to ensure accurate data collection, storage, and integration across various platforms and applications.
  • Work with Business Owners to analyze complex biotech R&D data and systems and document requirements for new IT solutions.
  • Work with Voyager IT and MSP partners to develop and maintain system integrations, dashboards, reports, and visualizations to present data findings to stakeholders.
  • Work with Business Owners to understand statistical methods and data mining techniques used to extract actionable insights from large datasets and implement a solution with help from Voyager IT and MSP partners.
  • Implement and maintain data management processes, including data quality checks, data cleansing, and data governance.
  • Ensure that all data-related activities comply with Voyager standards.
  • Provide support and expertise in the use of bioinformatics and biotech R&D applications, including LIMS, ELN, and data analysis tools.
  • Collaborate with R&D teams to understand their data needs and optimize the use of existing applications.
  • Assist in the evaluation and implementation of new data tools and applications that enhance research capabilities.
  • Design and implement business intelligence solutions that align with R&D objectives and business goals.
  • Create and automate reports that track key performance indicators (KPIs) relevant to biotech research.
  • Conduct ad hoc analyses as required by business leaders and R&D teams.
  • Serve as a liaison between R&D, IT, and business teams to ensure alignment on data-related initiatives.
  • Facilitate communication and understanding of data-driven insights among non-technical stakeholders.
  • Participate in cross-functional projects that involve data analysis and contribute to strategic planning.

Project Management:

  • Lead or support data-related projects, ensuring they are delivered on time and meet business requirements.
  • Coordinate with stakeholders to gather requirements, define project scope, and manage project timelines.
  • Provide regular updates on project progress to management and other stakeholders.

Qualifications:

  • Bachelor's degree in Data Science, Computer Science, Statistics, Biotechnology, Bioinformatics, Business Analytics, or a related field.
  • Advanced degree or certifications in Data Analytics, Bioinformatics, or Biotechnology is a plus.
  • 10 years of experience as a Data Analyst or Business Analyst, preferably in the biotech or pharmaceutical industry.
  • Proven experience in handling and analyzing biotech R&D data, including genomic, proteomic, and clinical trial data.
  • Familiarity with bioinformatics tools, databases, and R&D applications (e.g., LIMS, ELN).

Technical Skills:

  • Proficiency in data analysis tools such as SQL, Python, R, or SAS.
  • Experience with data visualization tools like JMP, Spotfire, Power BI, or Qlik.
  • Strong understanding of data management and data governance principles.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and their data services.

Soft Skills:

  • Excellent analytical and problem-solving skills with attention to detail.
  • Strong communication skills, with the ability to translate technical data into business insights.
  • Ability to work collaboratively in a cross-functional team environment and manage multiple projects simultaneously.

Additional Requirements:

  • Knowledge of regulatory compliance in the biotech industry (e.g., FDA, EMA) is preferred.
  • Willingness to stay current with industry trends and advancements in biotech R&D and data analytics.

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