• Design, build, and maintain R Shiny applications for clinical study monitoring, data visualization, safety review, and exploratory analysis • Develop modular, scalable, and well‑documented R code following best practices • Create interactive dashboards, visualizations, and bespoke analytical tools for cross‑functional teams • Optimize Shiny app performance, security, and usability for deployment in regulated environments • Ensure all deliverables comply with CDISC standards, regulatory guidance, and internal SOPs • Act as a subject matter expert (SME) for R and R Shiny within the team • Mentor junior programmers and contribute to knowledge‑sharing initiatives • Participate in study meetings, providing technical insights and programming expertise • Influence best practices, pipelines, and automation strategies for modernizing statistical workflows

Title: Data Scientist Supervisor Location: Alhambra, California, 91803, United States Department: Program Positions Job Category: Program Positions Requisition Number: DATAS006318 Full-Time Hybrid Job Description: Salary Range: $9,852.82 - $13,278.10 Monthly SUMMARY The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS). The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery. The unit also ensures data integrity, security, and regulatory compliance. The Data Scientist Supervisor leads a team of data scientists within the DHS Data & Analytics Unit, overseeing the execution of advanced analytical projects, machine learning initiatives, and data-driven strategies. This role is responsible for managing the development and implementation of predictive models, optimizing data workflows, and ensuring that analytical solutions align with organizational objectives. The Data Scientist Supervisor provides technical leadership, mentors team members, and fosters a collaborative environment to drive innovation and efficiency in data science operations. ESSENTIAL FUNCTIONS - Team Leadership & Mentorship - Lead, coach, and mentor data scientists, fostering a culture of continuous learning and professional growth. - Project Oversight & Execution - Manage and oversee the development of machine learning models and analytical solutions to meet business needs. - Apply advanced statistical methods, machine learning algorithms, and data mining techniques to analyze large and varied datasets, uncovering trends and patterns that provide actionable insights. - Fine-tune and optimize models, ensuring they are scalable, efficient, and aligned with business requirements. - Mentor junior data scientists and guide their model development, statistical analysis, and data science practices. - Data Engineering & Workflow Optimization - Collaborate with engineering teams to ensure the scalability, efficiency, and accuracy of data pipelines. - Quality Assurance & Best Practices - Establish and enforce best practices in data science methodologies, model validation, and documentation. - Advanced Data Analysis & Modeling - Lead the development of predictive, prescriptive, and diagnostic models to address complex business problems and optimize decision-making processes. - Machine Learning & AI Implementation - Design, train, and optimize machine learning models for forecasting, anomaly detection, and automation. - Insightful Reporting & Visualization - Create and deliver high-quality, clear, and actionable reports and dashboards, translating complex data findings into easily understandable insights for both technical and non-technical stakeholders. - Use advanced visualization tools and techniques to convey analytical results effectively to leadership and business teams. - Develop and implement metrics and KPIs that measure the effectiveness of data science initiatives and model performance. - Strategic Collaboration & Stakeholder Engagement - Work closely with business leaders and stakeholders to define data-driven strategies and deliver actionable insights. - Translate complex technical concepts into actionable business insights and recommendations for non-technical audiences. - Partner with IT, engineering, and business teams to integrate data science solutions into operational processes. - Continuous Improvement & Research - Stay abreast of emerging data science techniques, industry trends, and technologies to drive innovation within the team and ensure best-in-class data science practices. - Lead research initiatives that explore new methods for data analysis, modeling, and automation. - Continuous improvement of data science workflows, techniques, methodologies, new tools, and technologies within the organization. JOB QUALIFICATIONS The ideal candidate is a seasoned data science professional with strong leadership skills, a track record of managing data science projects, and the ability to translate complex analytics into strategic business recommendations. They should possess a combination of technical expertise, team management experience, and a deep understanding of machine learning and data-driven decision-making. Education/Experience - Master’s degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. - 6+ years of experience in data science, with at least 2 years in a leadership role. - Extensive hands-on experience in machine learning, AI, and predictive modeling. Proven experience leading and mentoring data science teams. Certificates/Licenses/Clearances - Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities - Advanced programming skills in Python, R, and SQL for model development and data processing. - Expertise in cloud computing (AWS, Azure, GCP) and big data technologies. - Strong experience with data visualization tools (Tableau, Power BI) for storytelling and reporting. - Deep knowledge of data engineering concepts, ETL processes, and model deployment. - Proven ability to lead data science projects from ideation to implementation. - Excellent communication skills to present complex insights to both technical and non-technical audiences. - Experience mentoring junior data scientists and fostering a data-driven culture. - Strong understanding of agile methodologies and project management principles. - Commitment to innovation and staying at the forefront of industry trends. PHYSICAL DEMANDS Stand: Not applicable Walk: Not applicable Sit: Frequently Handling / Fingering: Constantly Reach Outward: Constantly Reach Above Shoulder: Not applicable Climb, Crawl, Kneel, Bend: Not applicable Lift / Carry: Occasionally - Not applicable Push/Pull: Occasionally - Not applicable See: Constantly Taste/ Smell: Not Applicable Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs/day) Frequently = (2 - 5 hrs/day) Constantly = (5+ hrs/day) WORK ENVIRONMENT Hybrid EEOC STATEMENT Heluna Health is an Affirmative Action, Equal Opportunity Employer that encourages minorities, women, veterans, and disabled to apply. It is the policy of Heluna Health to provide equal employment opportunities without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, genetic information or any other protected characteristic under applicable law.

Title: Data Scientist Location: USA, Massachusetts, Boston, 200 Berkeley Street Job Description: Employer: John Hancock Life Insurance Company (USA) Job Site: 200 Berkeley Street, Boston, MA 02116 Job Title: Data Scientist Job Duties: Develop and participate in machine learning and data analysis driven projects that supports the underwriting function with high impact on cost savings, operational efficiency and insights and customer satisfaction. Duties include: - Clean, preprocess, and analyze large datasets to extract meaningful insights and patterns; - Collaborate with multi-functional teams to identify and define business requirements and ensure alignment with data science objectives; - Design and complete experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability; - Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows; - Communicate sophisticated technical concepts and findings to technical and non-technical partners to ensure clear understanding and agreement; and - Conduct peer reviews and participate in model and code reviews. Work Arrangement Requirement Hybrid from Boston Office (3 days from office, 2 days from home) Minimum Requirements: Master’s degree or foreign equivalent in Statistics, Mathematics, Computer Science, Engineering or related field and 2 years of data analysis experience. Experience must include the following, which may be gained concurrently: - 2 years of experience using programing languages including Python or R. - 2 years of statistical testing and modeling experience. - 1 year of experience using machine learning principles and techniques. - 1 year of experience using data visualization tools or libraries. The role being advertised is an existing vacancy. About Manulife and John Hancock Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. Manulife is an Equal Opportunity Employer At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law. It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. Referenced Salary Location Boston, Massachusetts Working Arrangement Hybrid Salary range is expected to be between $90,160.00 USD - $167,440.00 USD Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence. We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement. Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify Company: John Hancock Life Insurance Company (U.S.A.)

Title: Environmental Scientist/Industrial Hygienist Location: Remote; San Diego, CA Job Description: Are you driven to grow, lead, and make a meaningful impact? At Apex, we’re building more than a consulting and engineering firm—we’re creating a place where your career accelerates, your contributions matter, and your potential is fully realized. We believe your growth is our growth, which is why we invest in your development at every stage of your career. Here, you’ll work on projects that shape communities, protect the environment, and create lasting impact, all while being empowered with the autonomy and flexibility to do your best work. Fueled by high quality delivery, exceptional client retention, and strategic acquisitions, Apex Companies continues to rank among the fastest-growing firms in the AEC industry, recently recognized by the Zweig Group for our industry-leading growth. Our success is grounded in strong leadership, a collaborative culture, and a shared commitment to delivering exceptional outcomes. As we continue to grow, we’re focused on building a team of high-performing professionals who are ready to lead, collaborate, and push what’s possible. At Apex, you don’t just join a company, you help shape what comes next. Environmental Scientist/Industrial Hygienist ~50% field / 50% remote Apex is seeking an environmental professional with experience in industrial hygiene to perform asbestos, lead-paint, mold/moisture intrusion, exposure assessment, abatement monitoring, and related industrial hygiene and EHS compliance projects across Southern California. Employee Benefits This role offers competitive compensation and a robust benefits package, a balanced mix of fieldwork and report writing, company sponsorship for professional and vocational training, work from home opportunity, collaboration with other industrial hygiene, EHS and other experts, and continued professional development and growth afforded by a rapidly growing national environmental consulting company. Key Responsibilities - Perform asbestos, lead-based paint (LBP), and microbial/moisture intrusion assessments, along with abatement oversight, with an approximate 50/50 split between field and office work - Conduct safety and compliance assessments in accordance with regulatory standards and client requirements - Support additional environmental services through cross-training, including: - Exposure assessments - Workplace safety evaluations - Stormwater compliance inspections - Soil and groundwater sampling - Noise and air monitoring - Aboveground Storage Tank (AST) inspections - Execute work in alignment with project work plans, standard operating procedures (SOPs), and direction from project managers - Manage scheduling and logistics across all project phases, from coordination and fieldwork through reporting - Prepare clear, accurate, and technically sound client-ready reports using project-specific templates - Collaborate with internal teams to support project delivery and ongoing professional development - Maintain and proactively pursue relevant certifications, including 40-Hour HAZWOPER, CAC, and/or CSST Qualifications - 2+ years of professional experience conducting asbestos surveys and mold/moisture intrusion inspections as an AHERA-accredited inspector (in any state) - Current AHERA certification required - California Certified Asbestos Consultant (CAC) and/or Certified Site Surveillance Technician (CSST) preferred - Bachelor’s degree in Environmental Science, Industrial Hygiene, Microbiology, or a related field What We’re Looking For - Self-motivated and dependable professional who can work effectively with limited supervision - Strong technical writing and critical thinking skills - Solid analytical and math skills for interpreting laboratory data and preparing reports - Excellent attention to detail with the ability to manage multiple projects and deadlines - Strong interpersonal skills and ability to collaborate in a team-oriented environment - Physically capable of performing fieldwork and comfortable working in both field and office settings - Commitment to safety and a strong understanding of safe work practices - Interest in growing within industrial hygiene and expanding into broader environmental consulting services Why you'll love working for us: - Company-subsidized medical and dental. - Company-paid life, short, and long-term disability. - 401k match, tuition assistance, and more. - Cross-training and the ability to work on a variety of projects. - Performance-based bonuses or other incentives. - Working with the best and brightest in the industry. - 2,000+ employee national firm with 70+ locations across the US. Apex Job Title: Scientist 2 - Project Scientist Req ID: 11507 Annual Expected Pay Range $75,000 - $85,000 USD