About Northern Trust:Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.The Global Head of Data Protection is a senior leadership role responsible for overseeing the design, implementation, and maintenance of comprehensive data protection and security strategies across Northern Trust, ensuring compliance with relevant regulations while leading a team of data security engineers to proactively identify and mitigate data risks across systems and applications; this role requires a deep understanding of financial services approach to data privacy laws, security architectures, data control automation, structured & unstructured data discovery and data protection best practices, collaborating closely with technology, legal, risk, audit and business teams to safeguard sensitive data.Key Responsibilities:Strategy Development:<ul><li>Develop and execute a holistic data protection strategy aligned with business objectives, technology and regulatory requirements.</li><li>Conduct risk assessments to identify potential data vulnerabilities and prioritize mitigation efforts.</li><li>Collaborate with the data governance, insider risk, fraud and global privacy teams on data classification standards with the goal of implementing data access controls to protect sensitive information.</li><li>Proactively manage key stakeholder expectations at the manager level and above, advising on optimal approaches and resolving conflicts between internal controls and information security requirements.</li></ul>Technical Implementation:<ul><li>Design and deploy data security solutions including encryption, data masking, data loss prevention (DLP), sensitive data discovery, cloud access security broker, proxy data controls and certificate and key management.</li><li>Oversee the implementation of security controls across cloud environments, on-premise systems, and third-party applications.</li><li>Monitor and analyze data security posture, identifying trends and potential threats.</li></ul>Team Leadership:<ul><li>Lead and mentor a team of data security engineers, providing technical guidance and career development opportunities.</li><li>Recruit and retain top talent with relevant data protection and security expertise.</li><li>Foster a culture of data security awareness within the engineering teams.</li></ul>Compliance and Governance:<ul><li>Enable compliance with data privacy regulations such as GDPR, CCPA, and local laws.</li><li>Collaborate with legal and compliance teams to address data protection inquiries and incident response.</li><li>Maintain the Data Protection Standard, procedures, and associated guidelines.</li><li>Develop comprehensive and effective technology/administrative controls for each standard requirement.</li><li>Maintain and establish as necessary, data protection control objectives and relevant mappings.</li><li>Drive the development and implementation of control metrics (KPIs, and KRIs).</li></ul>Incident Response:<ul><li>Participate in the response to data breaches and security incidents, including investigation, containment, and remediation.</li><li>Conduct post-incident root cause analysis to identify improvement areas and prevent future occurrences.</li></ul>Required Skills and Experience:<ul><li>Understanding of data privacy regulations (GDPR, CCPA, etc.).</li><li>Extensive understanding of cybersecurity and financial industry frameworks as well as standards such as CRI, NIST, ISO 27001, etc.</li><li>Expertise in data security technologies like encryption, data masking, DLP, data scanning and access controls.</li><li>Proven experience in designing and implementing data security architectures across cloud and on-premise environments.</li><li>Extensive knowledge for collaborating with lines of defense, risk and audit specifically, in large financial services organizations.</li><li>Strong leadership and team management skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Experience in managing large complex projects and associated budgets.</li><li>Expertise in managing team member capacity to address workload demand.</li><li>Strong ability to analyze data to identify thematic issues / areas requiring improvement.</li><li>Experience with security incident response and threat analysis a plus.</li><li>Programming skills and knowledge of data analytics tools.</li></ul>Education and Certifications:<ul><li>Bachelor's degree in computer science, information security, or a related field.</li><li>Relevant cybersecurity certifications such as CISSP, CISM, CIPP/E, or similar are a plus.</li></ul>Working with Us:As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreaterReasonable accommodation:Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at <a href="#">MyHRHelp@ntrs.com</a>.We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.Apply today and talk to us about your flexible working requirements and together we can achieve greater.
#J-18808-Ljbffr

About Northern Trust:Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.Role Summary:The Head of Data Science will work in the global quantitative strategies team that manages $37bln for clients globally. The aim of the quantitative platform is to generate cutting-edge quantitative research with a particular focus on alpha generation and sustainability approaches and integration.The head of data science identifies, advises on and executes opportunities to better utilize data science within the platform. The individual understands how to apply artificial intelligence techniques in an investment context and is able to communicate data science effectively on all levels within the organization and externally to clients and prospects.Primary Duties and Responsibilities:<ul><li>Lead the research, development and maintenance of data science into the investment platform. </li><li>Apply machine learning and artificial intelligence in creating applied signal research, portfolio construction research, sustainability approaches, and risk assessment of (new) investment strategies</li><li>Forster a culture of innovation, encouraging the exploration of new techniques and technologies that push the frontier</li><li>Developed and execute a strategic vision for employing advanced AI and ML techniques in the context of investment strategies</li><li>Collaborate with partners up to C-level to effectively deliver data science across the organization </li><li>Provide thought leadership and industry engagement</li><li>Use sophisticated analytical thought to exercise judgement and identify innovative solutions</li></ul>Necessary Knowledge and Skills:<ul><li>Deep level of understanding of AI techniques and how to apply these in complex investment problems</li><li>Strong knowledge of the established asset pricing and factor anomaly literature</li><li>Hands-on mentality, being able to execute on AI ideas and opportunities in quick-turnaround times</li><li>Superior communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li><li>Ability to quickly master new applications and tools in order to evolve the capabilities of the quantitative platform</li><li>Extensive knowledge of Python, SQL, and building cloud-based AI pipelines</li></ul>Necessary Experience and Education:<ul><li>PhD degree in computer science, data science, mathematics, financial economics or related field </li><li>10+ years of experience in a data science role in asset management, preferably a quantitative asset manager or hedge fund</li><li>Proven track record of running high functioning teams and driving impact in data-driven environments</li><li>Proven track record in creating thought leadership w.r.t. AI and investment applications is a strong plus</li></ul>Working with Us:As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreaterReasonable accommodationNorthern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at <a href="#">MyHRHelp@ntrs.com</a>.We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.Apply today and talk to us about your flexible working requirements and together we can achieve greater.
#J-18808-Ljbffr

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. The Global Head of Data Protection is a senior leadership role responsible for overseeing the design, implementation, and maintenance of comprehensive data protection and security strategies across Northern Trust, ensuring compliance with relevant regulations while leading a team of data security engineers to proactively identify and mitigate data risks across systems and applications; this role requires a deep understanding of financial services approach to data privacy laws, security architectures, data control automation, structured & unstructured data discovery and data protection best practices, collaborating closely with technology, legal, risk, audit and business teams to safeguard sensitive data. Key Responsibilities: Strategy Development: <ul><li>Develop and execute a holistic data protection strategy aligned with business objectives, technology and regulatory requirements. </li><li>Conduct risk assessments to identify potential data vulnerabilities and prioritize mitigation efforts. </li><li>Collaborate with the data governance, insider risk, fraud and global privacy teams on data classification standards with the goal of implementing data access controls to protect sensitive information. </li><li>Proactively manage key stakeholder expectations at the manager level and above, advising on optimal approaches and resolving conflicts between internal controls and information security requirements. </li> </ul>Technical Implementation: <ul><li>Design and deploy data security solutions including encryption, data masking, data loss prevention (DLP), sensitive data discovery, cloud access security broker, proxy data controls and certificate and key management. </li><li>Oversee the implementation of security controls across cloud environments, on-premise systems, and third-party applications. </li><li>Monitor and analyze data security posture, identifying trends and potential threats. </li> </ul>Team Leadership: <ul><li>Lead and mentor a team of data security engineers, providing technical guidance and career development opportunities. </li><li>Recruit and retain top talent with relevant data protection and security expertise. </li><li>Foster a culture of data security awareness within the engineering teams. </li> </ul>Compliance and Governance: <ul><li>Enable compliance with data privacy regulations such as GDPR, CCPA, and local laws. </li><li>Collaborate with legal and compliance teams to address data protection inquiries and incident response. </li><li>Maintain the Data Protection Standard, procedures, and associated guidelines. </li><li>Develop comprehensive and effective technology/administrative controls for each standard requirement. </li><li>Maintain and establish as necessary, data protection control objectives and relevant mappings. </li><li>Drive the development and implementation of control metrics (KPIs, and KRIs). </li> </ul>Incident Response: <ul><li>Participate in the response to data breaches and security incidents, including investigation, containment, and remediation. </li><li>Conduct post-incident root cause analysis to identify improvement areas and prevent future occurrences. </li> </ul>Required Skills and Experience: <ul><li>Understanding of data privacy regulations (GDPR, CCPA, etc.). </li><li>Extensive understanding of cybersecurity and financial industry frameworks as well as standards such as CRI, NIST, ISO 27001, etc. </li><li>Expertise in data security technologies like encryption, data masking, DLP, data scanning and access controls. </li><li>Proven experience in designing and implementing data security architectures across cloud and on-premise environments. </li><li>Extensive knowledge for collaborating with lines of defense, risk and audit specifically, in large financial services organizations. </li><li>Strong leadership and team management skills. </li><li>Excellent communication and stakeholder management abilities. </li><li>Experience in managing large complex projects and associated budgets. </li><li>Expertise in managing team member capacity to address workload demand. </li><li>Strong ability to analyze data to identify thematic issues / areas requiring improvement. </li><li>Experience with security incident response and threat analysis a plus. </li><li>Programming skills and knowledge of data analytics tools. </li> </ul>Education and Certifications: <ul><li>Bachelor's degree in computer science, information security, or a related field. </li><li>Relevant cybersecurity certifications such as CISSP, CISM, CIPP/E, or similar are a plus. </li> </ul>Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation: Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at <a > </a>. We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater. #J-18808-Ljbffr

Head of Data Science
 
 About the Company
 Pioneering financial technology (FinTech) company
 Industry Financial Services
 Type Privately Held
 
 
 
 
 
 
 About the Role
 The Head of Data Science will be responsible for providing strategic leadership to effectively lead a multifunctional team in the delivery of robust data services to clients.
 
 
 
 Travel Percent Less than 10%
 Functions
 <ul>
 <li>Data Management/Analytics</li>
 </ul>
 
 Known Requirements
 <ul>
 <li>Master's degree or Ph.D. in statistics, computer science, or mathematics required</li><li>At least 5 years' experience in a data science leadership position required</li><li>Excellent technical skills and solid experience in ETL pipeline design and development required</li><li>Superior written, verbal, and interpersonal communication skills required</li>
 </ul>

About Northern Trust:Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.Role Summary:The Head of Data Science will work in the global quantitative strategies team that manages $37bln for clients globally. The aim of the quantitative platform is to generate cutting-edge quantitative research with a particular focus on alpha generation and sustainability approaches and integration. The head of data science identifies, advises on and executes opportunities to better utilize data science within the platform. The individual understands how to apply artificial intelligence techniques in an investment context and is able to communicate data science effectively on all levels within the organization and externally to clients and prospects.Primary Duties and Responsibilities:<ul><li>Lead the research, development and maintenance of data science into the investment platform.</li><li>Apply machine learning and artificial intelligence in creating applied signal research, portfolio construction research, sustainability approaches, and risk assessment of (new) investment strategies.</li><li>Foster a culture of innovation, encouraging the exploration of new techniques and technologies that push the frontier.</li><li>Develop and execute a strategic vision for employing advanced AI and ML techniques in the context of investment strategies.</li><li>Collaborate with partners up to C-level to effectively deliver data science across the organization.</li><li>Provide thought leadership and industry engagement.</li><li>Use sophisticated analytical thought to exercise judgement and identify innovative solutions.</li></ul>Necessary Knowledge and Skills:<ul><li>Deep level of understanding of AI techniques and how to apply these in complex investment problems.</li><li>Strong knowledge of the established asset pricing and factor anomaly literature.</li><li>Hands-on mentality, being able to execute on AI ideas and opportunities in quick-turnaround times.</li><li>Superior communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.</li><li>Ability to quickly master new applications and tools in order to evolve the capabilities of the quantitative platform.</li><li>Extensive knowledge of Python, SQL, and building cloud-based AI pipelines.</li></ul>Necessary Experience and Education:<ul><li>PhD degree in computer science, data science, mathematics, financial economics or related field.</li><li>10+ years of experience in a data science role in asset management, preferably a quantitative asset manager or hedge fund.</li><li>Proven track record of running high functioning teams and driving impact in data-driven environments.</li><li>Proven track record in creating thought leadership regarding AI and investment applications is a strong plus.</li></ul>Working with Us:As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreaterReasonable accommodationNorthern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at <a href="#">MyHRHelp@ntrs.com</a>.We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.Apply today and talk to us about your flexible working requirements and together we can achieve greater.
#J-18808-Ljbffr

About Northern Trust:Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889.Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service.The Global Head of Data Protection is a senior leadership role responsible for overseeing the design, implementation, and maintenance of comprehensive data protection and security strategies across Northern Trust, ensuring compliance with relevant regulations while leading a team of data security engineers to proactively identify and mitigate data risks across systems and applications. This role requires a deep understanding of financial services approach to data privacy laws, security architectures, data control automation, structured & unstructured data discovery, and data protection best practices, collaborating closely with technology, legal, risk, audit, and business teams to safeguard sensitive data.Key Responsibilities:Strategy Development:<ul><li>Develop and execute a holistic data protection strategy aligned with business objectives, technology, and regulatory requirements.</li><li>Conduct risk assessments to identify potential data vulnerabilities and prioritize mitigation efforts.</li><li>Collaborate with the data governance, insider risk, fraud, and global privacy teams on data classification standards with the goal of implementing data access controls to protect sensitive information.</li><li>Proactively manage key stakeholder expectations at the manager level and above, advising on optimal approaches and resolving conflicts between internal controls and information security requirements.</li></ul>Technical Implementation:<ul><li>Design and deploy data security solutions including encryption, data masking, data loss prevention (DLP), sensitive data discovery, cloud access security broker, proxy data controls, and certificate and key management.</li><li>Oversee the implementation of security controls across cloud environments, on-premise systems, and third-party applications.</li><li>Monitor and analyze data security posture, identifying trends and potential threats.</li></ul>Team Leadership:<ul><li>Lead and mentor a team of data security engineers, providing technical guidance and career development opportunities.</li><li>Recruit and retain top talent with relevant data protection and security expertise.</li><li>Foster a culture of data security awareness within the engineering teams.</li></ul>Compliance and Governance:<ul><li>Enable compliance with data privacy regulations such as GDPR, CCPA, and local laws.</li><li>Collaborate with legal and compliance teams to address data protection inquiries and incident response.</li><li>Maintain the Data Protection Standard, procedures, and associated guidelines.</li><li>Develop comprehensive and effective technology/administrative controls for each standard requirement.</li><li>Maintain and establish, as necessary, data protection control objectives and relevant mappings.</li><li>Drive the development and implementation of control metrics (KPIs and KRIs).</li></ul>Incident Response:<ul><li>Participate in the response to data breaches and security incidents, including investigation, containment, and remediation.</li><li>Conduct post-incident root cause analysis to identify improvement areas and prevent future occurrences.</li></ul>Required Skills and Experience:<ul><li>Understanding of data privacy regulations (GDPR, CCPA, etc.).</li><li>Extensive understanding of cybersecurity and financial industry frameworks as well as standards such as CRI, NIST, ISO 27001, etc.</li><li>Expertise in data security technologies like encryption, data masking, DLP, data scanning, and access controls.</li><li>Proven experience in designing and implementing data security architectures across cloud and on-premise environments.</li><li>Extensive knowledge for collaborating with lines of defense, risk, and audit specifically in large financial services organizations.</li><li>Strong leadership and team management skills.</li><li>Excellent communication and stakeholder management abilities.</li><li>Experience in managing large complex projects and associated budgets.</li><li>Expertise in managing team member capacity to address workload demand.</li><li>Strong ability to analyze data to identify thematic issues/areas requiring improvement.</li><li>Experience with security incident response and threat analysis is a plus.</li><li>Programming skills and knowledge of data analytics tools.</li><li>Education and Certifications:</li><ul><li>Bachelor's degree in computer science, information security, or a related field.</li><li>Relevant cybersecurity certifications such as CISSP, CISM, CIPP/E, or similar are a plus.</li></ul></ul>Working with Us:As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas.Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose.We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreaterReasonable accommodationNorthern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at <a href="#">MyHRHelp@ntrs.com</a>.We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people.Apply today and talk to us about your flexible working requirements and together we can achieve greater.
#J-18808-Ljbffr

Head of Data Science & Machine Learning
 
 About the Company
 Innovative healthcare technology company
 Industry Hospital & Health Care
 Type Privately Held, VC-backed
 Founded 2020
 
 Employees 11-50
 Funding $11-$25 million
 
 Categories
 <ul>
 <li>Consulting</li><li>Health Care</li><li>Artificial Intelligence</li><li>Consulting & Professional Services</li><li>Scientific & Academic Research</li><li>Advanced Analytics</li><li>Academic Research</li><li>MedTech</li><li>Evidence-Based Medicine</li><li>Scientific</li><li>Technical Services</li><li>Professional Services</li><li>Clinical Trials</li><li>Information Technology</li><li>Medical</li>
 </ul>
 
 Specialties
 <ul>
 <li>real world Data</li><li>Second opinion</li><li>Evidence based medicine</li><li>ai</li><li>and healthcare</li>
 </ul>
 
 
 About the Role
 The Company is seeking a Head of Data Science and Machine Learning to lead the integration of advanced AI, machine learning, and epidemiological methods into its products. The successful candidate will be responsible for developing the company's strategy in these areas, delivering cutting-edge innovations, and ensuring the highest standards of scientific integrity and ethical use of AI in healthcare. This role is pivotal in driving the company's mission to close evidence gaps, improve patient outcomes, and advance the field of medicine through data-driven care. The Head of Data Science and Machine Learning will also play a key role in recruiting, developing, and leading a team of experts, as well as engaging with external partners and customers as a spokesperson for technical innovations.

Applicants must have a minimum of 10 years of experience in machine learning, data science, AI, or related fields, with at least 3 years in a leadership capacity, and a graduate degree in a relevant field. Pragmatic leadership skills, a strong bias to action, and the ability to code and coach a team in production-level code are essential. Experience in a startup environment, a track record of impactful innovation, and a commitment to intellectual honesty and curiosity are also required. Preferred qualifications include experience in a clinical workflow, relationships with life sciences or academic collaborators, and contributions to open-source software. The role demands a collaborative leader who can cultivate partnerships and is comfortable with the deployment and scaling of analytical products in a cloud environment.
 Hiring Manager Title President
 
 
 Travel Percent Less than 10%
 Functions
 <ul>
 <li>Data Management/Analytics</li>
 </ul>

Head of Data Science & Machine Learning
About the Company
Innovative healthcare technology company
Industry
Hospital & Health Care
Type
Privately Held, VC-backed
Founded
2020
Employees
11-50
Funding
$11-$25 million
Categories
Consulting
Health Care
Artificial Intelligence
Consulting & Professional Services
Scientific & Academic Research
Advanced Analytics
Academic Research
MedTech
Evidence-Based Medicine
Scientific
Technical Services
Professional Services
Clinical Trials
Information Technology
Medical
Specialties
real world Data
Second opinion
Evidence based medicine
ai
and healthcare
About the Role
The Company is seeking a Head of Data Science and Machine Learning to lead the integration of advanced AI, machine learning, and epidemiological methods into its products. The successful candidate will be responsible for developing the company's strategy in these areas, delivering cutting-edge innovations, and ensuring the highest standards of scientific integrity and ethical use of AI in healthcare. This role is pivotal in driving the company's mission to close evidence gaps, improve patient outcomes, and advance the field of medicine through data-driven care. The Head of Data Science and Machine Learning will also play a key role in recruiting, developing, and leading a team of experts, as well as engaging with external partners and customers as a spokesperson for technical innovations. Applicants must have a minimum of 10 years of experience in machine learning, data science, AI, or related fields, with at least 3 years in a leadership capacity, and a graduate degree in a relevant field. Pragmatic leadership skills, a strong bias to action, and the ability to code and coach a team in production-level code are essential. Experience in a startup environment, a track record of impactful innovation, and a commitment to intellectual honesty and curiosity are also required. Preferred qualifications include experience in a clinical workflow, relationships with life sciences or academic collaborators, and contributions to open-source software. The role demands a collaborative leader who can cultivate partnerships and is comfortable with the deployment and scaling of analytical products in a cloud environment.
Hiring Manager Title
President
Travel Percent
Less than 10%
Functions
Data Management/Analytics

Head of Data Jobs in Chicago, IL

Global Head Of Data Protection
December 11, 2024

Head Of Data Science
December 11, 2024

Head Of Data Science
December 9, 2024

Global Head Of Data Protection
December 9, 2024

Head Of Data Science
December 8, 2024

Head Of Data Science
December 8, 2024

Global Head Of Data Protection
December 3, 2024

Head Of Data Science Machine Learning
December 3, 2024

Head Of Data Science Machine Learning
November 26, 2024

Quick filters

Top companies

Head of Data Jobs in Chicago, IL

Global Head Of Data ProtectionDecember 11, 2024

Head Of Data ScienceDecember 11, 2024

Head Of Data ScienceDecember 9, 2024

Global Head Of Data ProtectionDecember 9, 2024

Head Of Data ScienceDecember 8, 2024

Head Of Data ScienceDecember 8, 2024

Global Head Of Data ProtectionDecember 3, 2024

Head Of Data Science Machine LearningDecember 3, 2024

Head Of Data Science Machine LearningNovember 26, 2024

Quick filters

Top companies

Global Head Of Data Protection
December 11, 2024

Head Of Data Science
December 11, 2024

Head Of Data Science
December 9, 2024

Global Head Of Data Protection
December 9, 2024

Head Of Data Science
December 8, 2024

Head Of Data Science
December 8, 2024

Global Head Of Data Protection
December 3, 2024

Head Of Data Science Machine Learning
December 3, 2024

Head Of Data Science Machine Learning
November 26, 2024