Consultant - Business Data Analyst with Biotech R&D Expertise
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.
The Business Data Analyst is expected to work on-site at least 4 days a week at Voyager’s
Lexington, MA office location.
Key Responsibilities:
o Work with IT and R&D teams to ensure accurate data collection, storage, and
integration across various platforms and applications.
o Work with Business Owners to analyze complex biotech R&D data and systems
and document requirements for new IT solutions.
o Work with Voyager IT and MSP partners to develop and maintain system
integrations, dashboards, reports, and visualizations to present data findings to
stakeholders.
o 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.
o Implement and maintain data management processes, including data quality
checks, data cleansing, and data governance.
o Ensure that all data-related activities comply with Voyager standards
o Provide support and expertise in the use of bioinformatics and biotech R&D
applications, including LIMS, ELN, and data analysis tools.
o Collaborate with R&D teams to understand their data needs and optimize the use
of existing applications.
o Assist in the evaluation and implementation of new data tools and applications
that enhance research capabilities.
o Design and implement business intelligence solutions that align with R&D
objectives and business goals.
o Create and automate reports that track key performance indicators (KPIs)
relevant to biotech research.
o Conduct ad hoc analyses as required by business leaders and R&D teams.
o Serve as a liaison between R&D, IT, and business teams to ensure alignment on
data-related initiatives.
o Facilitate communication and understanding of data-driven insights among non-
technical stakeholders.
o Participate in cross-functional projects that involve data analysis and contribute
to strategic planning.
Project Management:
o Lead or support data-related projects, ensuring they are delivered on time and
meet business requirements.
o Coordinate with stakeholders to gather requirements, define project scope, and
manage project timelines.
o Provide regular updates on project progress to management and other
stakeholders.
Qualifications:
Education:
o Bachelor’s degree in Data Science, Computer Science, Statistics, Biotechnology,
Bioinformatics, Business Analytics, or a related field.
o Advanced degree or certifications in Data Analytics, Bioinformatics, or
Biotechnology is a plus.
Experience:
o 10 years of experience as a Data Analyst or Business Analyst, preferably in the
biotech or pharmaceutical industry.
o Proven experience in handling and analyzing biotech R&D data, including
genomic, proteomic, and clinical trial data.
o Familiarity with bioinformatics tools, databases, and R&D applications (e.g.,
LIMS, ELN).
Technical Skills:
o Proficiency in data analysis tools such as SQL, Python, R, or SAS.
o Experience with data visualization tools like JMP, Spotfire, Power BI, or Qlik.
o Strong understanding of data management and data governance principles.
o Familiarity with cloud platforms (e.g., AWS, Azure) and their data services.
Soft Skills:
o Excellent analytical and problem-solving skills with attention to detail.
o Strong communication skills, with the ability to translate technical data into
business insights.
o 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.