What are the responsibilities and job description for the Business/ Data Analyst with Biotech R&D Expertise position at Softworld, Inc.?
Job Details
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
