Data Scientist Architect
Spectraforce
Lexington, Massachusetts
5 months ago
Job Description
Job Title: Data Scientist Architect
Duration: 6 Months
Location: Lexington, MA (Hybrid, 3 days onsite)
Objectives:
• Lead the implementation and management of AI and GenAI data products in alignment with R&D and enterprise stakeholders.
• Ensure compliance with company and regulatory requirements.
• Provide machine learning expertise for complex and large-scale data projects.
• Act as a subject matter expert for machine learning frameworks in digital and innovation projects.
Accountabilities:
• Develop and implement data models and algorithms for pharmaceutical quality and R&D.
• Leverage generative AI and large language models to enhance data analysis and automate processes.
• Collaborate with cross-functional teams to ensure data integrity and accuracy.
• Provide expertise in designing and delivering digital projects.
• Set and maintain GxP standards in alignment with Software Development Lifecycle policies.
• Prepare and present detailed reports and visualizations to stakeholders.
• Lead the integration and advancement of AI technologies in R&D Quality.
• Develop and implement strategic AI initiatives to enhance Quality Management Systems (QMS).
• Oversee AI-driven projects and ensure timely delivery.
• Foster a culture of innovation and collaboration.
Dimensions and Aspects:
• Technical/Functional Expertise:?In-depth knowledge of AI technologies in the pharmaceutical industry, experience with machine learning models, Agile methodologies, and GxPs.
• Leadership:?Solution-oriented mindset, strong relationship-building skills, and effective communication.
• Decision-making and Autonomy:?Provide input to complex decisions and ensure swift implementation.
• Interaction:?Experience working cross-functionally and in matrixed, global teams.
• Innovation:?Drive and support new ways of thinking and lead change.
• Complexity:?High multicultural sensitivity and ability to navigate complex global ecosystems.
Education:
• Master's degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field with 8-12 years of experience.
• 5-10 years of experience applying machine learning/deep learning in life sciences.
• Proven track record of leading AI-driven projects in a pharmaceutical or biotechnology setting.
• Experience with generative AI and large language models.
• Familiarity with GxPs, regulatory requirements, and quality standards in the pharmaceutical industry.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex information to non-technical stakeholders.
Skills:
• Advanced Machine Learning Algorithms: Proficiency in implementing and optimizing machine learning algorithms using libraries such as Scikit-learn, TensorFlow, and PyTorch
• Data Engineering: Experience with data extraction, transformation, and loading (ETL) processes, and familiarity with tools like Apache Spark and Hadoop
• Data Modeling: Ability to design and implement data models that support business requirements and improve data accessibility
• Statistical Analysis: Strong foundation in statistical methods and their application in real-world scenarios
• Programming Languages: Proficiency in programming languages such as Python, R, and SQL
• Data Visualization: Expertise in data visualization tools like Tableau, Power BI, or Matplotlib to present insights effectively
• Domain Knowledge: Understanding of the specific industry domain to provide tailored, actionable insights
About Us: Established in 2004, SPECTRAFORCE® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.
California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act (“CPRA”) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting NAHR@spectraforce.com.
LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE, your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $116.00/hr.
Duration: 6 Months
Location: Lexington, MA (Hybrid, 3 days onsite)
Objectives:
• Lead the implementation and management of AI and GenAI data products in alignment with R&D and enterprise stakeholders.
• Ensure compliance with company and regulatory requirements.
• Provide machine learning expertise for complex and large-scale data projects.
• Act as a subject matter expert for machine learning frameworks in digital and innovation projects.
Accountabilities:
• Develop and implement data models and algorithms for pharmaceutical quality and R&D.
• Leverage generative AI and large language models to enhance data analysis and automate processes.
• Collaborate with cross-functional teams to ensure data integrity and accuracy.
• Provide expertise in designing and delivering digital projects.
• Set and maintain GxP standards in alignment with Software Development Lifecycle policies.
• Prepare and present detailed reports and visualizations to stakeholders.
• Lead the integration and advancement of AI technologies in R&D Quality.
• Develop and implement strategic AI initiatives to enhance Quality Management Systems (QMS).
• Oversee AI-driven projects and ensure timely delivery.
• Foster a culture of innovation and collaboration.
Dimensions and Aspects:
• Technical/Functional Expertise:?In-depth knowledge of AI technologies in the pharmaceutical industry, experience with machine learning models, Agile methodologies, and GxPs.
• Leadership:?Solution-oriented mindset, strong relationship-building skills, and effective communication.
• Decision-making and Autonomy:?Provide input to complex decisions and ensure swift implementation.
• Interaction:?Experience working cross-functionally and in matrixed, global teams.
• Innovation:?Drive and support new ways of thinking and lead change.
• Complexity:?High multicultural sensitivity and ability to navigate complex global ecosystems.
Education:
• Master's degree in Data Science, Statistics, Computational Biology, Bioinformatics, Computer Science, or a related field with 8-12 years of experience.
• 5-10 years of experience applying machine learning/deep learning in life sciences.
• Proven track record of leading AI-driven projects in a pharmaceutical or biotechnology setting.
• Experience with generative AI and large language models.
• Familiarity with GxPs, regulatory requirements, and quality standards in the pharmaceutical industry.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills to convey complex information to non-technical stakeholders.
Skills:
• Advanced Machine Learning Algorithms: Proficiency in implementing and optimizing machine learning algorithms using libraries such as Scikit-learn, TensorFlow, and PyTorch
• Data Engineering: Experience with data extraction, transformation, and loading (ETL) processes, and familiarity with tools like Apache Spark and Hadoop
• Data Modeling: Ability to design and implement data models that support business requirements and improve data accessibility
• Statistical Analysis: Strong foundation in statistical methods and their application in real-world scenarios
• Programming Languages: Proficiency in programming languages such as Python, R, and SQL
• Data Visualization: Expertise in data visualization tools like Tableau, Power BI, or Matplotlib to present insights effectively
• Domain Knowledge: Understanding of the specific industry domain to provide tailored, actionable insights
About Us: Established in 2004, SPECTRAFORCE® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRAFORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com
Benefits: SPECTRAFORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRAFORCE provides unpaid leave as well as paid sick leave when required by law.
Equal Opportunity Employer: SPECTRAFORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.
California Applicant Notice: SPECTRAFORCE is committed to complying with the California Privacy Rights Act (“CPRA”) effective January 1, 2023; and all data privacy laws in the jurisdictions in which it recruits and hires employees. A Notice to California Job Applicants Regarding the Collection of Personal Information can be located on our website. Applicants with disabilities may access this notice in an alternative format by contacting NAHR@spectraforce.com.
LA County, CA Applicant Notice: If you are selected for this position with SPECTRAFORCE, your offer is contingent upon the satisfactory completion of several requirements, including but not limited to, a criminal background check. We consider qualified applicants with arrest or conviction records for employment in accordance with all local ordinances and state laws, including the Los Angeles County Fair Chance Ordinance for Employers (FCO) and the California Fair Chance Act (FCA). The background check assessment will consider whether a criminal history could reasonably have a direct, adverse impact on the job-related safety, security, trust, regulatory compliance, or suitability for this role. Such findings may result in withdrawal of a conditional job offer.
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $116.00/hr.