Job Title : Business/ Data Analyst with Biotech R&D Expertise

Job Location : Lexington MA 02139
Onsite Requirements:

• Data: SQL, Python or R
• Business Analysis skills
• analyzing and integrating biotech R&D data

Job Description :

Seeking a highly analytical and detail-oriented Business Data Analyst with expertise in Biotech R&D data and applications. This role involves transforming complex data into actionable insights to support decision-making processes in biotech research and development.

Key Responsibilities:

Data Analysis and Management:

• Collaborate 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, documenting requirements for new IT solutions.
• Develop and maintain system integrations, dashboards, reports, and visualizations in partnership with IT and MSP partners to present data findings to stakeholders.
• Apply statistical methods and data mining techniques to extract actionable insights from large datasets, implementing solutions with IT and MSP partners.
• Implement and maintain data management processes, including data quality checks, data cleansing, and governance.
• Ensure compliance with company standards for all data-related activities.

Application Support and Optimization:

• Provide expertise in bioinformatics and biotech R&D applications, including LIMS, ELN, and data analysis tools.
• Collaborate with R&D teams to optimize existing applications and meet their data needs.
• Assist in evaluating and implementing new data tools and applications to enhance research capabilities.

Business Intelligence and Reporting:

• Design and implement business intelligence solutions aligned with R&D objectives and business goals.
• Create and automate reports to track key performance indicators (KPIs) relevant to biotech research.
• Conduct ad hoc analyses as required by business leaders and R&D teams.

Collaboration and Communication:

• Serve as a liaison between R&D, IT, and business teams to align on data-related initiatives.
• Facilitate communication of data-driven insights among non-technical stakeholders.
• Participate in cross-functional projects involving data analysis and contribute to strategic planning.

Project Management:

• Lead or support data-related projects, ensuring timely delivery and alignment with 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

Education:

• Bachelor's degree in data science, Computer Science, Statistics, Biotechnology, Bioinformatics, Business Analytics, or a related field.
• Advanced degrees or certifications in Data Analytics, Bioinformatics, or Biotechnology are a plus.

Experience:

• 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 (SQL, Python, R, SAS).
• Experience with data visualization tools (JMP, Spotfire, Power BI, Qlik).
• Strong understanding of data management and governance principles.
• Familiarity with cloud platforms (AWS, Azure) and their data services.

Additional Requirements:

• Knowledge of regulatory compliance in the biotech industry (e.g., FDA, EMA) is preferred.