61,674 Data Role jobs in the United States

MMRF OVERVIEW:

The Multiple Myeloma Research Foundation (MMRF) is the largest nonprofit in the world solely focused on accelerating a cure for each and every multiple myeloma patient. We drive the development and delivery of next-generation therapies, leverage data to identify optimal and more personalized treatment approaches, and empower myeloma patients and the broader community with information and resources to extend their lives. Central to our mission is our commitment to advancing health equity so that all myeloma patients can benefit from the scientific and clinical advances we pursue. Since our inception, the MMRF has committed over $600 million for research, opened nearly 100 clinical trials, and helped bring 15+ FDA-approved therapies to market, which have tripled the life expectancy of myeloma patients. To learn more, visit .

MMRF Core Values:

At the MMRF our core values define both who we are and how we work together as an organization. We believe in investing in our team and building a culture that will help us pursue our highest level mission to accelerate a cure for each and every multiple myeloma patient. Our five core values are expressed below:

1. Prioritize Patients - Patients are at the center of everything we do. Every decision we make is grounded in the needs and best interests of the patients we serve.
2. Drive Innovation - We are committed to pursuing big, bold ideas. Taking risks, trying new approaches, and challenging the status quo are necessary to speed new discoveries.
3. Deliver Solutions - Taking on complicated challenges is what sets us apart. To deliver results, we must be decisive, take action, and act with urgency on behalf of the myeloma community.
4. Do It Together - We know that together, we are stronger. We work cross-functionally with the entire community to achieve our mission and are invested in the success of others.
5. Build Trust - We build trust-based relationships. We advocate for each and every myeloma patient by committing to diversity, equity, and inclusion and treating others with respect.

Position Overview :

The successful applicant will lead the design, development, and implementation of cloud-based solutions for MMRF’s internal and external research network. They will work in highly-technical, multi-disciplinary teams and offer deep technical understanding of cloud computing technologies, DevOps practices, networking, IT and Big Data solutions and business operations. They will work closely with a variety of stakeholders to navigate both the back-end technical side and the business side of cloud infrastructure, research, and operations to meet the needs of MMRF’s clinical and genomic research initiatives.

Essential Functions:

• Responsible for designing, developing, and managing cloud infrastructure, cloud solutions, and data asset management workflows to help MMRF accelerate global Multiple Myeloma research initiatives.
• Work closely with external vendors and their IT & Cloud DevOps team members for strategic planning, building, deploying, and integrating solution infrastructures and workflows for migration, storage, compute, and security.
• Provide technical leadership and consultancy to internal and external researchers and engineers for planning and completing operational tasks while also providing training and mentorship to new staff.
• Work with internal and external stakeholders to gather requirements and define the scope of cloud projects and research initiatives.
• Produce custom software solutions with DevOps engineers and Bioinformatics Scientists to develop and deploy advanced processing & analytics techniques and machine learning applications for Multiple Myeloma genomic research.
• Lead the development of cloud security, governance, and compliance policies and procedures on AWS cloud and using the industry-recognized AWS “Well-Architected Framework” best practices.
• Manage and optimize cloud costs by minimizing redundancy and maximizing resources based on business value.
• Provide project management and financial reporting for cloud projects.
• Automate computational workflows and develop reproducible infrastructure as code.
• Stay up-to-date on the latest trends in cancer research, cloud computing, DevOps, and machine learning.
• Write, diagnose, and troubleshoot code for research endeavors and cloud-based infrastructure at any level of the tech stack.

Qualifications & Experience:

• Bachelor's or Master’s Degree in Computer Science, Bioinformatics, Computational Biology or a related field.
• 4+ years of experience working in cloud computing platforms (e.g. AWS, Azure, or Google Cloud), DevOps, and Computational Biology/Bioinformatics.
• Proven expertise and experience in cloud-based technologies and services.
• Proven experience managing AWS cloud infrastructure environments.
• Strong background in development and IT operations.
• Strong programming skills and expertise in scripting languages (e.g., Python, R, Bash) and infrastructure-as-code tools (e.g., CloudFormation, Terraform).
• Experience in implementing and managing cloud policies, access controls, and security configurations.
• Excellent communication and interpersonal skills, with the ability to work independently and within multidisciplinary team environments.
• Certified AWS Cloud Solutions Architect required.
• Research experience in Cancer Genomics (preferred).

• Shape cloud strategy and bioinformatics pipelines that support life-saving research.
• Collaborate with top engineers, researchers, and genomic scientists worldwide.
• Solve real-world problems at the intersection of cloud, DevOps, and cancer data.
• 100% remote position with high-impact, high-visibility work.
  
  

• Design, develop, and manage cloud-based infrastructure and workflows.
• Lead secure AWS architecture using best practices and compliance standards.
• Partner with researchers on genomics and machine learning projects.
• Automate reproducible computational pipelines using DevOps principles.
• Manage budgets, reporting, and stakeholder engagement across teams.
  
  

• 4+ years in AWS/cloud DevOps, bioinformatics, or data engineering.
• Proficient in Python, R, Bash, Terraform/CloudFormation.
• AWS Certified Solutions Architect preferred.
• Cancer genomics or biomedical research experience is a major plus.
  
  

• Contribute to ML models that deepen our understanding of complex biological systems in health and disease, including data wrangling, data curation, and data validation for AI/ML models
• Lead data management, software infrastructure and AI/ML workflow best practices and policies
• Participate in institute-wide initiatives, workshops, and seminars to promote cross-disciplinary collaboration and knowledge sharing
• Promote open science through publishing papers and open-source code
• Advance community standards for scalability in developing, disseminating, and evaluating AI/ML/computational methods for scientific problems
• Foster a collaborative and inclusive work environment that values diversity and encourages participation from team members with different voices, experiences, and backgrounds

• Bachelor's in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field; or equivalent combination of degree and experience
• Minimum of 3 years of relevant work experience
• Demonstrated ability to design, implement and apply AI/ML models and/or the infrastructure to support large FMs trained on large-scale biological data

• Master's degree in Computer Science, Applied Mathematics, Computational Biology, Statistics, Biostatistics or similar field
• 7+ years of experience developing and applying ML methods
• Strong publication record of innovative scientific accomplishments (both individual and team)
• Expertise in Python-based ML libraries and frameworks such as PyTorch, Jax, Pyro, NumPy, and Pandas
• Experience building and supporting the computational infrastructure needed for FMs
• Knowledge of data preprocessing, normalization, and integration techniques specific to biological and clinical datasets
• Strong problem-solving skills and ability to develop innovative computational approaches to address complex biological questions
• Proven ability to work independently and manage multiple projects simultaneously while meeting deadlines
• Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment

• Fine motor movements in fingers/hands to operate computers and other office equipment

• This role is currently able to work both remotely and onsite in a hybrid work environment. We are a Washington State employer, and the primary work location for all Allen Institute employees is 615 Westlake Ave N.; any remote work must be performed in Washington State.

• Attendance and participation in national and international conferences as appropriate

• **Please note, this opportunity does not offerrelocation assistance**
• **Please note, this opportunity does not offer work visa sponsorship**

• Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institutes Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide:

Solicitation Reference Number 302CSD2504 Customer Name Office of the Attorney General of Texas Category Data/Database Administration Customer Entity Name ttorney General, Office of the Title Data Scientist (Big Data Engineer)

Level Data Scientist (Big Data Engineer) 2 Estimated Hours 1,000 SSR Status Posted Number of Positions 2 Status New # of Resumes Allowed 1 Candidates Submitted Full/Part Time Full Time

IT STAFFING SERVICES SOLICITATION UNDER
DEPARTMENT OF INFORMATION RESOURCES
IT STAFF AUGMENTATION CONTRACT (ITSAC)
Solicitation Reference Number: 302CSD2504 Working Title: Data Scientist Title/Level: Data Scientist (Big Data Engineer) 2 Category: Data/Database Administration Full Time

I. DESCRIPTION OF SERVICES

Office of the Attorney General of Texas requires the services of 2 Data Scientist (Big Data Engineer) 2 , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas .

ll work products resulting from the project shall be considered "works made for hire " and are the property of the Office of the Attorney General of Texas and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Office of the Attorney General of Texas will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).

The Office of the Attorney General's Chief Data Office (CDO) is seeking a dynamic and visionary Data Scientist to join our team and support our System Modernization efforts for the Child Support Division. This individual must be able to work in a heavily technical environment, preparing and optimizing data for Snowflake and utilizing SAS Viya to build comprehensive federal and state reports. You will play a pivotal role in transforming, analyzing, and leveraging our data assets to drive strategic initiatives and business outcomes. You must be comfortable analyzing data, developing predictive modeling algorithms, and can communicate your findings through visualizations enabling the discovery of solutions to business problems. As a Data Scientist your role will be impactful, visible, and rewarding.

Responsibilities will include:
Data Conversion and Reporting Support for System Modernization Efforts Data Transformation and Integration : Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R. Develop Federal and State Reports : Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance. Scrum Team Collaboration : Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions. Data Quality Management: Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality. Problem Examination and Resolution : Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement. Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results.

The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.

II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools. 4 Required Experience working in a Scrum or Agile development environment. 4 Required Proficiency in ETL processes and tools such as AWS Glue and Lambda. 4 Required Strong knowledge of database management and data warehousing concepts. 4 Required Expertise in SQL for data querying and manipulation. 4 Required Proven experience in data conversion and report building using Snowflake and SAS Viya. 4 Required Demonstrated experience in data transformation processes using ETL, SQL, Python, and R. 4 Required Experience working with data analytics and business intelligence tools. 4 Required Experience working in a Scrum or Agile development environment. 4 Required Proficiency in ETL processes and tools such as AWS Glue and Lambda.
III. TERMS OF SERVICE

Services are expected to start 11/12/2024 and are expected to complete by 08/31/2025 . Total estimated hours per Candidate shall not exceed 1000 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.
IV. WORK HOURS AND LOCATION

Services shall be provided during normal business hours unless otherwise coordinated through the Office of the Attorney General of Texas . Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM , excluding State holidays when the agency is closed.

The primary work location(s) will be at OAG State Office located at 5500 E. Oltorf St, Austin, TX 78741 . The working position is Telework . Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Office of the Attorney General of Texas will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.

The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Office of the Attorney General of Texas .
V. OTHER SPECIAL REQUIREMENTS

The candidate(s) will be subject to a criminal background check that includes a DPS/FBI background check and fingerprinting.

Solicitation Reference Number


Customer Name
Texas Health and Human Services Commission

Category
Data/Database Administration

Customer Entity Name
Health and Human Services Commission

Title
Data Scientist (Big Data Engineer)

Level
Specialist

Posted Date
6/21/2024

Estimated Hours
360

SSR Status
Posted

Number of Positions
2

Status
New

# of Resumes Allowed
1

Candidates Submitted
Full/Part Time
Full Time

IT STAFFING SERVICES SOLICITATION UNDER
DEPARTMENT OF INFORMATION RESOURCES
IT STAFF AUGMENTATION CONTRACT (ITSAC)
RFO DIR-CPO-TMP-445
Solicitation Reference Number: Working Title: Data Scientist (Big Data Engineer) Specialist Title/Level: Data Scientist (Big Data Engineer) Specialist Category: Data/Database Administration Full Time

I. DESCRIPTION OF SERVICES

Texas Health and Human Services Commission requires the services of 2 Data Scientist (Big Data Engineer) Specialist , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) Specialist, Data/Database Administration and the specifications outlined in this document for the Texas Health and Human Services Commission .

All work products resulting from the project shall be considered "works made for hire " and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).

Assessment, analysis, planning, remediation, and fraud analytics road mapping services. Inventory and evaluation of systems, data, processes, and solutions.

One position will be part time for 72 hours and the other one will be full time with the full 360 hours.

II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 10 Required Big Data, AI/Client, Data Science workflows and automation

III. TERMS OF SERVICE

Services are expected to start 07/22/2024 and are expected to complete by 08/30/2024 . Total estimated hours per Candidate shall not exceed 360 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.

IV. WORK HOURS AND LOCATION

Services shall be provided during normal business hours unless otherwise coordinated through the Texas Health and Human Services Commission . Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM , excluding State holidays when the agency is closed.

The primary work location(s) will be at 4601 Guadalupe, Austin, Texas 78751 . The working position is Telework . Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Health and Human Services Commission will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.

The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Health and Human Services Commission .

V. OTHER SPECIAL REQUIREMENTS
TERM OF SERVICE (Required)

Services are expected to start on or around July 22, 2024 and are expected to completed by August 31, 2024. Total estimated hours per Candidate shall not exceed 360 hours for FY24. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.

WORK HOURS AND LOCATION (Required)

A) Services shall be provided during normal business hours unless otherwise coordinated through the Agency. Normal business hours are Monday through Friday from 8:00 a.m. through 5:00 p.m., excluding Texas state holidays when the agency is closed.

B) The primary work location will be 4601 Guadalupe, Austin, Texas 78751.

Position will be remote. Program will allow candidates who are within the state (Any location within the State of Texas).

C) Any and all travel, per diem, parking, and/or living expenses shall be at the worker's and/or Vendor's expense.

D) The worker may be required to work remotely at HHSC discretion, up to 100 percent of the time.

E) The worker may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through the Agency.

OTHER SPECIAL REQUIREMENTS

Interviews will be conducted: (check all that apply)

By Phone

In person

Through Microsoft Teams

IMPORTANT INFORMATION

vendor's submission of a candidate may be disqualified if :

• The vendor fails to add the candidate to competitive solicitation, or RFR, in the DIR ITSAC Portal.
• Another vendor submits the same candidate for the same competitive solicitation, also known as a request of resume (RFR).
• The vendor submits more than one candidate for the same competitive solicitation, or RFR.
• The vendor submits a candidate after the response period for a competitive solicitation, or RFR.
• The vendor fails to format the email subject line properly, when submitting a candidate for a competitive solicitation, or RFR:
  • Proper Formatting: Solicitation Number, Vendor Name, Candidate First and Last Name, Position Type and Level
  • Example: , Sanders Technologies, Jane Doe, Project Lead 3
• The vendor fails to follow any other instructions noted in the competitive solicitation, or RFR.

Solicitation Reference Number Customer Name Texas Health and Human Services Commission Category Data/Database Administration Customer Entity Name Health and Human Services Commission Title Data Scientist (Big Data Engineer) Level Specialist Posted Date 4/7/2025 Estimated Hours 400 SSR Status Posted Number of Positions 1 Status New # of Resumes Allowed 1 Candidates Submitted Full/Part Time Full Time

IT STAFFING SERVICES SOLICITATION UNDER
DEPARTMENT OF INFORMATION RESOURCES
IT STAFF AUGMENTATION CONTRACT (ITSAC)
Solicitation Reference Number: Working Title: Data Scientist (Big Data Engineer) Specialist Title/Level: Data Scientist (Big Data Engineer) Specialist Category: Data/Database Administration Full Time NTE Rate:To Be Determined

I. DESCRIPTION OF SERVICES

Texas Health and Human Services Commission requires the services of 1 Data Scientist (Big Data Engineer) Specialist , hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) Specialist, Data/Database Administration and the specifications outlined in this document for the Texas Health and Human Services Commission .

ll work products resulting from the project shall be considered "works made for hire " and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Texas Health and Human Services Commission will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).

The Specialist position is rarely selected and should only be considered after all other levels have been exhausted. The Specialist position is considered an expert position that has a comprehensive and authoritative knowledge of or unique skillset in a particular area. A data scientist (big data engineer) is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs and builds AI tools that automate certain processes within the company.

Data engineer needed for Fraud Analytics roadmap implementation, including standing up new data engineering practices and supporting data analysts and data scientists.

II. CANDIDATE SKILLS AND QUALIFICATIONS Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. Years Required/Preferred Experience 10 Required Skill in designing, building, and managing efficient, scalable, and reliable data pipelines to support data integration efforts. Skill in Python and SQL. Experience with Databricks on Azure preferred.
III. TERMS OF SERVICE

Services are expected to start 05/05/2025 and are expected to complete by 08/31/2025 . Total estimated hours per Candidate shall not exceed 400 hours. This service may be amended, renewed, and/or extended providing both parties agree to do so in writing.
IV. WORK HOURS AND LOCATION

Services shall be provided during normal business hours unless otherwise coordinated through the Texas Health and Human Services Commission . Normal business hours are Monday through Friday from 8:00 AM to 5:00 PM , excluding State holidays when the agency is closed.

The primary work location(s) will be at 4601 Guadalupe, Austin, Texas 78751 . The working position is On Site . Any and all travel, per diem, parking, and/or living expenses shall be at the Candidate's and/or Vendor's expense. Texas Health and Human Services Commission will provide pre-approved, written authorization for travel for any services to be performed away from the primary work location(s). Pre-approved travel expenses are limited to the rates and comply with the rules prescribed by the State of Texas for travel by its classified employees, including any requirement for original receipts.

The Candidate(s) may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through Texas Health and Human Services Commission .
V. OTHER SPECIAL REQUIREMENTS

TERM OF SERVICE (Required)

Services are expected to start on or around May 5, 2025 and are expected to completed by August 31, 2025. Total estimated hours per Candidate shall not exceed 400 hours for FY25.

Initial Purchase Order Term:

ny Purchase Order resulting from this Request for Resumes is effective on the date of issuance and expires on the last day of the State fiscal year in which the Purchase Order was issued, unless sooner stated in the Purchase Order or unless sooner terminated, renewed, or extended as provided in the Purchase Order.

Renewal Option(s):

HHSC, at its sole discretion, may renew the Purchase Order for up to three, one-year optional renewals. Such renewal(s), if exercised, shall be subject to all the requirements and terms and conditions of the Purchase Order.

WORK HOURS AND LOCATION (Required)

) Services shall be provided during normal business hours unless otherwise coordinated through the Agency. Normal business hours are Monday through Friday from 8:00 a.m. through 5:00 p.m., excluding Texas state holidays when the agency is closed.

B) The primary work location will be 4601 Guadalupe, Austin, Texas 78751.

Position is ONSITE at the location listed above (NO REMOTE WORK). Program will only accept LOCAL ONLY candidates for this position.

C) Any and all travel, per diem, parking, and/or living expenses shall be at the worker's and/or Vendor's expense.

D) The worker may be required to work remotely at HHSC discretion, up to 100 percent of the time.

E) The worker may be required to work outside the normal business hours on weekends, evenings and holidays, as requested. Payment for work over 40 hours will be at the hourly rate quoted and must be coordinated and pre-approved through the Agency.

OTHER SPECIAL REQUIREMENTS

Interviews will be conducted: (check all that apply)

By Phone

In person

Through Microsoft Teams

IMPORTANT INFORMATION

vendor's submission of a candidate may be disqualified if :
The vendor fails to add the candidate to competitive solicitation, or RFR, in the DIR ITSAC Portal. Another vendor submits the same candidate for the same competitive solicitation, also known as a request of resume (RFR). The vendor submits more than one candidate for the same competitive solicitation, or RFR. The vendor submits a candidate after the response period for a competitive solicitation, or RFR. The vendor fails to format the email subject line properly, when submitting a candidate for a competitive solicitation, or RFR:

• Proper Formatting: Solicitation Number, Vendor Name, Candidate First and Last Name, Position Type and Level
• Example: , Sanders Technologies, Jane Doe, Project Lead 3

• Candidates with a degree in computer science or related field; or a degree in the chemistry disciplines with strong programming capabilities.

• 4-6 years of relevant experience.

• Cloud Services - AWS (Lambda Functions, S3, Cloud Formation Templates, RDS, ECR)
• Development of ETL Processes / Data Workflows / Data Pipelines / Data Wrangling / Data Ingestion
• Python 3.9+ software development
• Python packages - Boto3, Pandas, pyodbc, openpyxl
• Python virtual environments - conda
• IDEs - Visual Studio Code or PyCharm
• Software design, development, and testing (unit testing and system testing)
• Version control - Git, GitHub
• CI/CD - GitHub Actions
• Databases - relational databases, SQL, data modeling and design
• File Formats (XLXS, YAML, JSON, CSV, TSV)
• Excellent verbal and written communications skills.
• Work independently and be able to collaborate as a team.
• Strive for continuous improvement and suggest innovative solutions to scientists' common challenges related to data workflows.

• Cloud Services - AWS (SQS, DLQ, SNS, EventBridge, API Gateway)
• Development of ETL Processes / Data Workflows / Data Pipelines / Data Wrangling / Data Ingestion.
• Python packages (Cerberus, PyYAML, logging)
• Python linters and type hints; regular expressions
• Experience with data pipeline tools such as Dataiku or Trifacta
• Experience in an IT role within the pharmaceutical research sector

• Establishing data workflows for predictive tools to enable more effective identification, characterization, and development of Client medicines and vaccines is a key objective for Client.
• This position sits within the Digital Sciences team in the Analytical Enabling Capabilities sub-department of Analytical Research & Development.
• You will be part of a team working collaboratively across a wide range of areas impacting all aspects of the drug discovery and development pipeline. A diverse array of projects spanning data workflows to instrument metrology to predictive sciences ensure this Digital Sciences team helps to enable work across all drug modalities including small molecule, peptide, biologics, vaccines, and beyond.
• The core Digital Sciences team works with a networked group of digital champions across AR&D and has close connectivity to other digital/data facing teams across Client Research Laboratories including critical IT collaborators.

• Design and development of data workflows/data pipelines in Python.
• Meet with business clients/SMEs to gather requirements.
• Work with IT to implement data workflows.
• Manage projects and timelines.
• Estimation of duration of work.
• Participate in daily standup meetings.
• Presentation of updates to collaborators.