Job summary
Job post source
This job is directly from Edwards Lifesciences
Job overview
The Manager, Data Science at Edwards Lifesciences leads a growing data science team focused on developing innovative healthcare solutions to improve patient outcomes in structural heart failure management.
Responsibilities and impact
The manager is responsible for building, leading, and managing the data science team, overseeing project prioritization, mentoring team members, collaborating with other departments, ensuring data governance, and communicating progress to senior leadership.
Compensation and benefits
The position offers a base salary range of $118,000 to $167,000 depending on experience, along with performance-based incentives and a variety of benefits programs to support employees and their families.
Experience and skills
Candidates must have a degree in Computer Science, Engineering, Biostatistics, or a related scientific field, experience in technical leadership or management, and knowledge of statistics and data science principles; preferred qualifications include experience with clinical data, machine learning, and team management.
Career development
The role offers opportunities to build and grow the data science team with multiple expansion requisitions approved, providing leadership experience and involvement in impactful healthcare projects.
Work environment and culture
The company values innovation, confidentiality, and a dynamic, fast-paced work environment focused on improving patient care, with adherence to safety and health protocols including COVID-19 vaccination requirements.
Company information
Edwards Lifesciences is a leader in structural heart patient care, pioneering technology for heart failure management to improve patient health and longevity.
Team overview
The candidate will lead the Implantable Heart Failure Management data science team, which is expanding and works closely with data engineering and analytics teams.
Job location and travel
The position is full-time and on-site in Naperville, Illinois, United States.
Application process
Applications are accepted through the company's Careers website while the position is posted; candidates must provide proof of COVID-19 vaccination if hired for patient-facing roles unless exempted.
Unique job features
This role offers a unique opportunity to build a greenfield data science team and develop novel healthcare algorithms with significant patient impact.
Company overview
Latinx in AI (LXAI) is a nonprofit organization dedicated to increasing the representation and visibility of Latinx individuals in the artificial intelligence field by fostering community, mentorship, and professional development. LXAI organizes workshops, conferences, and networking events, including prominent gatherings at major AI conferences like NeurIPS and ICML, to connect Latinx researchers, engineers, and students with industry leaders and academic opportunities. The organization sustains itself through sponsorships, partnerships with tech companies, and grants that support its programs and scholarships. Founded in 2018, LXAI has played a significant role in advocating for diversity and inclusion within the global AI community, and candidates should be aware of its collaborative culture and mission-driven focus.
How to land this job
Position your resume to emphasize your leadership experience in managing and growing data science teams, highlighting your ability to build and mentor technical talent in a healthcare or data-driven environment.
Focus on showcasing your expertise in data science, machine learning, statistics, and your experience with clinical or patient data to align with LXAI's healthcare innovation goals.
Apply through multiple channels including Latinx in AI's official careers page, Edwards Lifesciences corporate site, and LinkedIn to maximize your application visibility.
Connect with current employees or leaders in the Data Science or Technology divisions at Latinx in AI on LinkedIn; use ice breakers like commenting on their recent projects in healthcare AI or expressing enthusiasm about their mission to improve patient outcomes.
Optimize your resume for ATS by including keywords such as 'data science management,' 'machine learning,' 'clinical data analysis,' 'team leadership,' and 'healthcare analytics' to ensure it passes automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify relevant job boards, and find LinkedIn connections to network with, saving you time and increasing your chances of landing the Manager, Data Science role at Latinx in AI.
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