Manager, Data Analysis – Lab Production Support, Extended-Hours Support

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead and guide the designated Extended-Hours Support shift team.

• Assess, report on, and consistently enhance the operational efficiency of the team.

• Establish and monitor team objectives that align with the organization's goals.

• Offer career advancement opportunities, constructive feedback, and performance evaluations.

• Foster an environment that encourages process improvements and innovative ideas from team members.

• Ensure prompt and precise resolution of production escalation data-analysis tickets.

• Mentor and train team members on technology, protocols, guidelines, and best practices.

• Uphold operating procedures to maintain compliance, quality, and efficiency.

• Oversee and optimize workload, capacity, and ticket-SLA tracking systems.

• Represent the Extended-Hours Support teams during stakeholder meetings.

• Manage stakeholder expectations and establish consistent reporting processes.

• Convert complex analytical findings into actionable insights.

• Escalate issues to other Data Science Production Engineering teams as necessary.

• Identify opportunities for automation and process improvements.

• Recognize and escalate risks that may impact project timelines or ticket resolution times.

• Collaborate with the broader DSPE team to enhance and develop support solutions.

⛳️ Requirements

• Master's degree in a relevant field (e.g., Statistics, Data Science, Computer Science).

• At least 5 years of experience in a highly regulated environment, such as CLIA and/or FDA compliant settings.

• Minimum of 5 years of practical experience in data analysis and/or statistical modeling within data production, data engineering, data analytics, or analytics production support roles.

• A minimum of 2 years of experience in a team leadership position.

• Familiarity with regulatory requirements, including HIPAA and FDA guidelines.

• Working knowledge of the business processes and requirements relevant to diagnostic laboratories.

• Demonstrated success in managing production escalations, data workflows, and team operations.

• Experience with healthcare data and clinical terminology is advantageous.

• Functional understanding of next-generation sequencing workflows.

• Skilled in data analysis and statistical methodologies.

• Proficient in Python and SQL programming.

• Familiarity with Snowflake platform technologies.

• Strong SQL capabilities for querying and extracting data from complex sources in a structured manner.

• Solid grasp of statistical principles, including parametric and non-parametric distributions, hypothesis testing, probability, and regression analysis.

• Competent in aggregating, preparing, cleaning, and analyzing data using SQL and Python.

• Knowledge of machine learning techniques and their practical applications.

• Excellent leadership and team management abilities.

• Strong problem-solving and critical-thinking skills.

• Good documentation practices and coding style.

• Effective verbal and written communication skills, capable of presenting technical results to both technical and non-technical audiences.

• Experience with version control systems, such as GitHub or GitLab.

• Detail-oriented with a commitment to data integrity.

• Ability to work effectively in a collaborative, cross-functional team environment.

• High level of integrity.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans for eligible employees and their dependents.

• Complimentary testing for employees and their immediate families.

• Fertility care benefits.

• Leave for pregnancy and baby bonding.

• 401k plan benefits.

• Commuter benefits.

• Employee referral program.