Data Engineer
Company: Disability Solutions
Location: New Brunswick
Posted on: October 4, 2024
Job Description:
Working with UsChallenging. Meaningful. Life-changing. Those
aren't words that are usually associated with a job. But working at
Bristol Myers Squibb is anything but usual. Here, uniquely
interesting work happens every day, in every department. From
optimizing a production line to the latest breakthroughs in cell
therapy, this is work that transforms the lives of patients, and
the careers of those who do it. You'll get the chance to grow and
thrive through opportunities uncommon in scale and scope, alongside
high-achieving teams rich in diversity. Take your career farther
than you thought possible.Bristol Myers Squibb recognizes the
importance of balance and flexibility in our work environment. We
offer a wide variety of competitive benefits, services and programs
that provide our employees with the resources to pursue their
goals, both at work and in their personal lives. Read more:
.Summary of Research Data Ecosystem ProjectBMS (Bristol Myers
Squibb)' mission is to discover, develop and deliver innovative
medicines that help patients prevail over serious diseases. To
accelerate our ability to serve patients around the world, we must
unleash the power of technology." We are committed to being at the
forefront of transforming the way medicine is made and delivered by
harnessing the power of computer and data science, artificial
intelligence, and other technologies to promote scientific
discovery, faster decision-making, and enhanced patient care. BMS
Research IT is investing in a step-change in our ability to
leverage data, knowledge, and prediction to find new high quality
development candidates. This major undertaking will result in a
unified Research Data Ecosystem that enables BMS' scientists,
engineers, and decision-makers to embrace predictive AI/ML and
data-driven business outcomes to improve quality, speed, and
efficiency in discovering new medicines.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.The LARGE MOLECULE Data Ecosystem effort is
seeking an IT Data Engineer to play a crucial role in data product
and R&D data ecosystem development, bridging the gap between
business stakeholders and technical teams.This autonomous role will
enable the project through:
- Data & 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. 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.
- 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. Qualifications &
Experience:
- Requires thorough knowledge of the principles and concepts of a
discipline and developed knowledge of other related disciplines,
typically gained through a university degree (preferred) and 4-6
years of experience. Bachelor's degree in computer science,
Software Engineering, or a related field (preferred); or equivalent
work experience. Master or other advanced degree is a plus.
- Strong Biologics domain knowledge and familiarity with the drug
discovery process, including understanding of early-stage drug
discovery assays, NGS sequencing and other 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.
- 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.
- 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.
- Proven experience in designing, developing, and deploying data
products on AWS using native tools and services.
- Demonstrated experience with AWS cloud and data management
technologies including Amazon S3, AWS Lamda, RDS, Redshift, DMS,
Spark, Glue Sql, Hive, CDP Impala, familiarization with Parquet,
JSON format, Amazon API Gateway.
- Strong understanding of cloud-native architecture principles,
microservices, and serverless computing.
- Knowledge of security best practices in AWS, including identity
and access management, encryption, and network security.
- Knowledge of search technology & analytic tools such as R and
Python; databases such as Redshift, RDS, and Oracle; and reporting
tools such as Tableau and Spotfire.
- Excellent problem-solving skills and the ability to
troubleshoot complex issues in distributed systems.
- Experience in writing reusable complex Python/PySpark scripts
for ELT, Business Logic OR APIs
- Mastery of relational, NoSQL or NewSQL database systems
- Expertise in working with unstructured, structured and
semi-structured data
- Experience in streaming data from SaaS/PaaS applications
- Experience with DataOps and related set of practices, processes
and technologies
- Experienced in Data Migration and Data Integration
- Strong communication skills and the ability to work effectively
within a collaborative and self-organized product team.#LI-HybridIf
you come across a role that intrigues you but doesn't perfectly
line up with your resume, we encourage you to apply anyway. You
could be one step away from work that will transform your life and
career. Uniquely Interesting Work, Life-changing CareersWith a
single vision as inspiring as Transforming patients' lives through
science--- , every BMS employee plays an integral role in work that
goes far beyond ordinary. Each of us is empowered to apply our
individual talents and unique perspectives in an inclusive culture,
promoting diversity in clinical trials, while our shared values of
passion, innovation, urgency, accountability, inclusion and
integrity bring out the highest potential of each of our
colleagues.On-site Protocol BMS has a diverse occupancy structure
that determines where an employee is required to conduct their
work. This structure includes site-essential, site-by-design,
field-based and remote-by-design jobs. The occupancy type that you
are assigned is determined by the nature and responsibilities of
your role: Site-essential roles require 100% of shifts onsite at
your assigned facility. Site-by-design roles may be eligible for a
hybrid work model with at least 50% onsite at your assigned
facility. For these roles, onsite presence is considered an
essential job function and is critical to collaboration,
innovation, productivity, and a positive Company culture. For
field-based and remote-by-design roles the ability to physically
travel to visit customers, patients or business partners and to
attend meetings on behalf of BMS as directed is an essential job
function. BMS is dedicated to ensuring that people with
disabilities can excel through a transparent recruitment process,
reasonable workplace accommodations/adjustments and ongoing support
in their roles. Applicants can request a reasonable workplace
accommodation/adjustment prior to accepting a job offer. If you
require reasonable accommodations/adjustments in completing this
application, or in any part of the recruitment process, direct your
inquiries to . Visit to access our complete Equal Employment
Opportunity statement. BMS cares about your well-being and the
well-being of our staff, customers, patients, and communities. As a
result, the Company strongly recommends that all employees be fully
vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest
and conviction records, pursuant to applicable laws in your area.If
you live in or expect to work from Los Angeles County if hired for
this position, please visit this page for important additional
information: Any data processed in connection with role
applications will be treated in accordance with applicable data
privacy policies and regulations.
Keywords: Disability Solutions, Stratford , Data Engineer, Engineering , New Brunswick, Connecticut
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