Redwood City,
CA
94063
US
Posted: 08/21/2023
2023-08-21
2023-10-31
Job Number: 24779192
Job Description
BUSINESS ANALYST WITH LARGE MOLECULE DOMAIN EXP
REDWOOD CITY, CA
This is a Hybrid role.
BS in Scientific Field.
New hire can work at either location below:
- Princeton, NJ (100 Nassau Park Blvd #300) or Cambridge, MA (100 Binney St.)
The pay Ranges between $82.00 to $84.80 per hour.
Required Skills:
- BS in Scientific Field .
- Strong large molecule domain knowledge and familiarity with the drug discovery process, including understanding of early-stage drug discovery assays, data types, and scientific principles.
- Proven ability in gathering, tracing, translating, and managing complex requirements, business rules, and data from varied stakeholders.
- Inclusive of mapping business processes, user stories, and functional and non-functional requirements.
- Strong attention to detail to ensure accuracy and completeness of requirements, documentation, and deliverables necessary.
- Agile and growth mindset.
- Excellent oral and written communication skills including technical writing/documentation.
- Ability to think critically and analytically to understand complex business and technical requirements.
- The analyst should be adept at breaking down problems, identifying patterns, and deriving insights from data.
- Strong technical aptitude necessary.
- Strong large molecule domain knowledge and familiarity with the drug discovery process, including understanding of early-stage drug discovery assays, data types, and scientific principles.
- Knowledge of relevant bioinformatics and predictive biological modeling is beneficial.
- Knowledge/experience in learning and/or applying AI/ML to drug discovery.
- Strong technical aptitude necessary.
- Ability to navigate and extract information and insights from IT systems and databases, and familiarity with information modeling, data integration methodologies, and data management principles is valuable.
- Knowledge of programming languages, data analysis tools, or data visualization platforms is a plus.
- Exceptional proficiency in analyzing data, deriving insights, and presenting findings.
- Skills in data modeling, statistical analysis, data visualization, or machine learning techniques are advantageous.
- Ability to think critically and analytically to understand complex business and technical requirements.
- The analyst should be adept at breaking down problems, identifying patterns, and deriving insights from data.
- Excellent oral and written communication skills including technical writing/documentation; organizes and presents ideas in a convincing way.
- Exceptional interpersonal and outgoing personality skills; able to collaborate effectively with cross-functional teams, including data scientists, lab researchers, developers, and business stakeholders.
- Effective communication skills are crucial to establish rapport, manage expectations, and facilitate collaboration.
- Agile and Growth Mindset; must possess a willingness to learn innovative technologies, methodologies, and scientific concepts related to early drug discovery.
- Ability to adapt to evolving project needs, embrace new challenges, and stay updated with industry trends and best practices.
- Possess strong business acumen; possess a broad, enterprise-wide view and understanding of strategy, processes, and capabilities, enabling technologies, and governance .
- Formal Business Analysis Certification (IIBA (International Institute of Business Analysis) ECBA/CCBA/CBAP) or Data Science / Data Analysis Certification, a strong plus .
Project Description:
- The LARGE MOLECULE Data Ecosystem effort is seeking a Senior IT Business Systems Analyst to play a crucial role in data product and R&D data ecosystem development, bridging the gap between business stakeholders and technical teams.
- The Data Ecosystem initiative will build a next-generation, business-driven, and self-serve data experience to provide a best-in-class data-centric environment for accelerating our predictive capabilities, Insilco research, and discovery insights.
- This effort will aggressively engineer our data at scale, creating numerous functional and operational data products acting as a single unified asset to unlock the value of our unique collection of data and predictions in real time.
- The Data Ecosystem initiative will bifurcate across small molecule and large molecule modalities, while maintaining cross-domain alignment.
- BA (Business Analyst) Planning:
- Work with Informatics teams and scientific groups to plot detailed Business Analysis activities and refine project plan, inclusive of setting expectations and timelines .
- Stakeholder Mgmt. & Communications:
- Coordinate stakeholder assessment and management of stakeholders/sponsors.
- Facilitate effective communication and collaboration between business stakeholders, technical teams, and other project stakeholders.
- Act as a liaison to ensure shared understanding, manage expectations, and resolve any conflicts or ambiguities related to requirements.
- Process Mapping:
- Understand the workflows, processes, and datasets involved in the various business processes and their evolution in a data-centric environment.
- The Analyst will document data pipelines from the business processes needed to enable computational scientists & data scientists.
- Requirements Gathering:
- Collaborate with IT Business Partners, Product Owners, business users, and technical leads to understand the detailed needs, objectives, requirements, and data elements needed for each data product.
- Conduct interviews and analysis to elicit and document clear and comprehensive functional and non-functional requirements.
- This includes clear mapping of business rules, security, and data governance needs of each data product Owner & Producer.
- Data Analysis and Modeling:
- Collaborate with information modelers and domain experts to understand data requirements, data sources, and data processing needs.
- Facilitate the creation of data models, data mapping, and data transformation specifications to ensure data integrity, quality, and availability.
- Translate business needs into comprehensive System to Target Mappings (STTM) for each data product - connecting the business insight & modeling needs to the specific data elements in and across systems and data sources.
- Furthermore, identify necessary process & system remediations to ensure successful data capture for robust data products.
- Solution Design:
- Collaborate with digital capability managers, architects, and data engineers to ensure successful development of effective, usable, and trustworthy data products.
- User Acceptance Testing (UAT):
- Develop UAT plans, test cases, and scenarios based on requirements.
- Coordinate with business users & predictive modelers to conduct UAT, facilitate defect tracking, and ensure that the developed data product meets user expectations.
- Documentation and Knowledge Management:
- Maintain accurate and up-to-date project documentation, requirements, design documents, STTM materials, test cases, and user guides.
- Enable knowledge asset retention and necessary activities to ensure longer-term data product continuity.
- Maintain Agile & Growth Mindset:
- Support agile approaches and participate in lessons learned sessions and provide feedback to improve future data product development processes.
- Stay updated with industry trends, emerging technologies, and best practices related to data product development and analysis.
This 6+ month position starts ASAP.
Please E-MAIL your resume (attachment to email) with rate and availability to Cindi: cindi@alphaconsulting.Com
ALPHA'S REQUIREMENT #23-01415
MUST BE ELIGIBLE TO WORK IN THE U.S. AS AN HOURLY W2 EMPLOYEE
Share This Job:
Login to save this search and get notified of similar positions.
