analytical scientist

Merck

<div>Job Description
The Vaccines Analytical Research and Development (Vaccines AR&amp;D) team within the Large Molecule Analytical department is seeking applicants for a lab based, Scientist position at its West Point, Pennsylvania, research facility.
The scientist is a laboratory-based scientific role that establishes and maintains laboratory automation and robotic systems used to support high-throughput analytical assays.
The primary lab-based role of the successful candidate will be to accurately perform automated and robotic biochemical, immunoassay, and cell-based methods. The candidate must be able to independently troubleshoot technical issues, participate in day-to-day lab maintenance activities, maintain accurate records, and be responsible for timely communication of data. Additionally, the individual will be responsible for maintaining laboratory automation and robotic systems. The individual should have practical working knowledge of hardware and programming experience with robotic liquid handlers, as well as scheduling software across a range of platforms (Tecan, Hamilton, HighResBiosolutions).
The successful candidate must be able to solve analytical problems at the interface of biology, chemistry, and lab informatics, to enable the development of vaccines supporting process development, formulation development, vaccine investigations, and method lifecycle management. Lastly, the individual will be expected to execute method development, qualifications, validations, and transfers of analytical methods. This includes authoring reports and technically reviewing data. The ideal candidate should bring expertise in a wide variety of automation and robotic methods with an emphasis on engineering, biology, chemistry, and virology.
The successful candidate must function well and collaborate effectively in a fast-paced, integrated, multidisciplinary team environment. Applicants must have effective organizational, multi-tasking, oral/written communication skills, show scientific leadership, and a desire to conduct research. Evidence of cross-functional collaboration in an academic or industrial setting is also preferred.
Position Qualifications: (please provide below)
Education Minimum Requirements:<ul><li>
M.S Engineering, chemistry/biochemistry/ or related field with 1+ years or B.S. with a minimum of 4+ years of experience in a related biotechnology field.</li></ul>
Required Experience and Skills:<ul><li>
Experience with liquid handlers, integrated robotic systems, and software.</li><li>
Demonstrated ability to troubleshoot technical issues with automation and robotics.</li><li>
Capable of performing assay development and automation development with minimum supervision.</li><li>
Demonstrated ability to manage, analyze, and interpret molecular biology, virology, and biochemistry data.</li><li>
Experience working in a regulated laboratory environment and familiarity with the ICH guidelines of analytical procedure validation.</li><li>
A strong team player with excellent oral and written communication skills; ability to work both independently for the development of assays and cross-functionally for the successful transfer of assays. Plan assay optimization and documentation to meet program deadlines.</li><li>
Strong ability to deliver complex objectives under aggressive timelines in a rapidly changing environment.</li></ul>
Preferred Experience and Skills:<ul><li>
Proficiency in at least one computer programming language, including Visual Basic, C#, MATLAB, Python, and/or R.</li><li>
Experience with assay tech transfer from development to GMP labs.</li><li>
Background in Analytical Methodologies and sound scientific understanding of Critical Quality Attributes/QbD/DOE principles as well as data analysis and statistics for setting specifications</li><li>
Experience with qualification, validation, and transfer of assays to a GLP or regulated laboratory environment as listed in ICH Q2 and USP&lt;1220&gt;.</li><li>
Motivation to learn new skills, willingness to take on new challenges, and scientific curiosity.</li><li>
Demonstrated scientific ability through publications or presentations in scientific conferences.</li></ul>
#AR&amp;D
#eligibleforerp
Required Skills:
Adaptability, Adaptability, Analytical Development, Analytical Method Development, Assay Development, Biochemical Analysis, C++ Programming Language, Cell-Based Assays, Computer Programming, Good Manufacturing Practices (GMP), Immunoassays, Interpersonal Relationships, Laboratory Automation, Laboratory Information Management System (LIMS), Laboratory Maintenance, Laboratory Techniques, Mammalian Cell Culture, Molecular Biology, Multitasking, Programming Languages, Robotic Liquid Handlers, Scientific Leadership, Self Motivation, Standard Operating Procedure (SOP) Writing, Technical Issues {+ 1 more}
Preferred Skills: 
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as &ldquo;remote&rdquo;.
The salary range for this role is
$87,300.00 - $137,400.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully 
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
No relocation
VISA Sponsorship:
No
Travel Requirements:
No Travel Required
Flexible Work Arrangements:
Not Applicable
Shift:
1st - Day
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
05/14/2026<ul><li>A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
</li></ul> 
Requisition ID:R396857</div>

Scientist, Vaccines Analytical R&D (On site)

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are seeking a scientist to further the development and application of analytics methods to examine the complex data flows of Amazon Ads and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, help advance our supply strategy, and evaluate the adoption and impact of feature releases. 
 
Key job responsibilities 
<ul><li>Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals</li><li>Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps</li><li>Formalize our analytics approach to Ads auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes</li><li>Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities</li><li>Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps</li><li>Validate financial models through analysis</li><li>Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives</li></ul> 
A day in the life 
The Ads Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The scientist will then analyze the data and present papers and ongoing reports on actionable insights. 
 
About the team 
At Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. 
 
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren&rsquo;t focused on how many hours you spend at work or online. Instead, we&rsquo;re happy to offer a flexible schedule so you can have a more productive and well-balanced life&mdash;both in and outside of work. 
 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually 
USA, NY, New York - 172,400.00 - 223,400.00 USD annually 
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Ads Science and Analysis Team

State of Utah

<div>Air Monitoring Scientist
FT / PT Status &ndash; Full-Time 
Salary &ndash; $25.27 - $52.56 Hourly Wage
 
Remote Work / In-Office &ndash; In-Office / On-Site 
 
Recruiter &ndash; Coral Ortega | caortega@utah.gov | 801-538-4624 
Application Deadline &ndash; 4/17/2026 
The Department of Environmental Quality is looking to fill an Air Monitoring Scientist (Environmental Scientist III) position in the Division of Air Quality. This position may be filled at any of the advertised levels listed below. Salary depends on the job level offered within the series.
Key Responsibilities 
<ul><li>
Operate, calibrate, and perform complex repairs on ambient air monitoring equipment to ensure continuous data collection and minimal downtime.</li><li>
Utilize advanced analytical equipment to measure and evaluate air pollutants in accordance with established scientific protocols.</li><li>
Execute all field and laboratory activities in strict accordance with Standard Operating Procedures (SOPs) and state/federal environmental regulations.</li><li>
Implement rigorous quality control requirements to ensure the integrity, accuracy, and legal defensibility of environmental data.</li><li>
Maintain meticulous Chain of Custody documentation for all samples from initial collection through laboratory analysis and final disposal.</li></ul>
Qualifications 
Minimum Qualifications:<ul><li>
Experience working in and around analytical equipment and instruments.
</li><li>Experience ensuring quality control measures are followed.</li><li>
Experience operating, troubleshooting and repairing scientific instrumentation and air monitoring equipment i.e., gas chromatography instruments, particulate samplers, gaseous analyzers for NOx, ozone, CO, SO2 and VOC&rsquo;s.</li><li>
Experience conducting laboratory analysis of samples including prepping and weighing filter material.</li><li>
Ability and experience working independently, including working at off-campus locations. 
</li><li>
Ability to operate, troubleshoot and repair complex equipment including air monitoring equipment.</li><li>
Ability to work effectively within a team environment and integrate seamlessly with existing staff.</li><li>
Exceptional attention to detail and a high level of accuracy in all work products.</li><li>
Strong time-management skills with the ability to prioritize tasks and meet deadlines in a fast-paced environment.</li></ul>
Preferred Qualifications:<ul><li>
Bachelor degree or higher in a science related field including computer science.</li><li>
An understanding of the principles related to pollution monitoring, research methods and data collection protocols.</li><li>
Completion of the APTI 470 course, or equivalent.</li><li>
Certifications from API Teledyne or Thermo Scientific related to instrument training.</li></ul>
Other Requirements:<ul><li>
Possession of a valid driver&rsquo;s license and the ability to travel throughout the state as required.</li><li>
Work requires physical exertion. May require the ability to stand; walk over rough surfaces; bend, crouch, stoop, stretch, reach, lift moderately heavy items (up to 50 lbs.) in a recurring manner and/or for long periods of time. 
</li><li>
Risks which require the use of special safety precautions and/or equipment, e.g., working around operating machines, working with contagious diseases or hazardous chemicals, etc.</li></ul>
Job Series
The selected candidate for this position may be brought in as an Environmental Scientist I with a salary range of $25.27 - $37.95 per hour, an Environmental Scientist II with a salary range of $29.73 - $44.66 per hour, or an Environmental Scientist III with a salary range of $34.98 - $52.56 per hour.
About the Role
Location &ndash;
 
195 North 1950 West 
Salt Lake City, UT, 84116 
United States
 
Background Check Required &ndash; You must successfully pass a criminal history check. 
Drug Test Required &ndash; No
 
Schedule Code &ndash; B - Competitive Career Service
Why You Should Join Our Team 
In Utah, we believe hard work is important, but balance is essential. Finding work/life balance is a vital element to our culture. To find out more about WHY Utah, click here. Other benefits may include:<ul><li>
Job Stability: Enjoy the security and reliability of employment within a well-established organization.</li><li>
Career Growth: Develop valuable skills and gain opportunities for leadership within a large organization.</li><li>
Meaningful Work: Contribute to an important service that benefits the community and supports organizational goals.</li><li>
Supportive Work Environment: Be part of a team that values cooperation, strong work ethics, and mutual support.</li></ul>
The Agency 
For more information about the Department of Environmental Quality and the Division of Air Quality, click here.
EEO Statement 
The State of Utah is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. For accommodations, please contact (801) 957-9390.</div><div></div>

Air Monitoring Scientist

Hidrocalido Digital Qatar

Job Opportunity: Data ScientistLocation: Doha, Qatar Company: Hidrocalido Digital QatarAbout UsHidrocalido Digital Qatar is a forward-thinking technology company specializing in digital transformation, advanced analytics, and innovative IT solutions. Based in Doha, we empower organizations to harness the power of data for smarter decision-making and sustainable growth. As we expand, we are seeking a talented Data Scientist to join our team and drive data-driven innovation.Role OverviewThe Data Scientist will be responsible for analyzing complex datasets, building predictive models, and delivering actionable insights to support business strategies. This role requires strong technical expertise, creativity, and the ability to communicate findings effectively to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models, machine learning algorithms, and statistical analyses.</li><li>Collaborate with business teams to identify opportunities for data-driven solutions.</li><li>Visualize data insights through dashboards and reports.</li><li>Ensure data integrity, accuracy, and compliance with company standards.</li><li>Stay updated on emerging data science tools, techniques, and trends.</li><li>Provide recommendations to improve business performance and efficiency.</li><li>Support integration of AI and advanced analytics into company systems.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>3&ndash;6 years of experience in data science, analytics, or machine learning.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong knowledge of machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Experience with big data platforms (Hadoop, Spark) is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to work independently and in a collaborative team environment.</li></ul>Why Join Us?<ul><li>Be part of a growing data science team in Doha.</li><li>Play a key role in shaping Hidrocalido Digital Qatar&rsquo;s analytics strategy.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Supportive, innovation-driven, and technology-focused work culture.</li></ul>نوع الوظيفة: دوام كاملالراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Data Scientist

American Cancer Society

<div>
 At the American Cancer Society, we're working to end cancer as we know it, for everyone. Our employees and 1.3 million volunteers are raising the bar every single day. We are a culture comprised of diverse backgrounds and experience, to better serve our communities.
 
 
 The people who work at the American Cancer Society focus their diverse talents on our lifesaving mission. It is a calling. And the people who answer it are fulfilled.
 
 
 The Associate Data Scientist, IT, Data &amp; Architecture will apply foundational data science and analytical techniques to drive insights that inform research, business strategy, and organizational decision-making. Working under the guidance of senior data scientists and data engineers, this role contributes to the development of data models, dashboards, and analysis that enhances understanding of program performance, and population health trends.
 
 
 The Associate Data Scientist will work with diverse data sources&mdash;including healthcare, demographic, behavioral, and operational datasets&mdash;to support projects across research analytics, and business analytics. The ideal candidate is detail-oriented, intellectually curious, and eager to learn modern data tools and methods while growing into an independent, high-impact contributor. This position offers an opportunity to build technical, analytical, and strategic expertise in a collaborative, mission-driven environment that values innovation, scientific rigor, and data ethics.
 
 
 ESSENTIAL FUNCTIONS:
 
 
 <ul>
 <li>
 Design, test, and deploy predictive and descriptive models to advance organizational strategy and outcomes, using Python, R, and related frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). 35%
 </li>
 <li>
 Formulate and validate hypotheses through rigorous statistical testing, ensuring models are grounded in scientific and business relevance. 25%
 </li>
 <li>
 Apply advanced statistical, econometric, and machine learning methods to structured and unstructured datasets, including dense domains such as images or genomics. 20%
 </li>
 <li>
 Translate technical results into clear, actionable insights for both technical and non-technical stakeholders through effective storytelling and visualization. 10%
 </li>
 <li>
 Engage cross-functional teams to understand organizational challenges, frame analytical questions, and develop innovative, data-driven solutions that align with business objectives. 10%
 
 
 </li>
 </ul>
 EXPERIENCE/QUALIFICATIONS:
 
 
 <ul>
 <li>
 Minimum Degree Required: Bachelor's Degree in Computer Science, Engineering, Computational Biology, Econometric or equivalent experience.
 </li>
 <li>
 Preferred Degree: Master's Degree
 </li>
 <li>
 Certificate(s) or License(s): N/A
 </li>
 <li>
 Years of experience: 1-3 years of relevant experience. Proven experience as a data scientist from professional experience and/or formal education.
 
 
 </li>
 </ul>
 REQUIRED KNOWLEDGE, SKILLS, AND ABILITY:
 
 
 <ul>
 <li>
 Advanced modeling expertise; Proven experience developing and validating statistical, econometric, and machine learning models for predictive or descriptive applications.
 </li>
 <li>
 Technical proficiency in analytical programming; Expertise in Python (pandas, scikit-learn, NumPy, statsmodels, PyTorch, TensorFlow) or equivalent R packages, strong working knowledge of SQL.
 </li>
 <li>
 Strong quantitative and analytical foundation; Deep understanding of statistical inference, experimental design, and model evaluation metrics.
 </li>
 <li>
 Experience with complex data domains; Skilled in analyzing high-dimensional or unstructured data, such as images, text, or genomics data.
 </li>
 <li>
 Effective communicator and storyteller; Able to translate complex analytical results into clear, actionable insights for diverse audiences.
 </li>
 <li>
 Collaborative and business-focused mindset; Skilled at partnering with cross-functional teams to understand organizational challenges and design data-driven solutions.
 </li>
 <li>
 Entrepreneurial drive and intellectual curiosity; Self-directed problem solver who proactively identifies opportunities for innovation and impact.
 
 
 </li>
 </ul>
 PREFERRED KNOWLEDGE, SKILLS, AND ABILITY:
 
 
 <ul>
 <li>
 Strong proficiency in statistical modeling, machine learning, and predictive analytics using Python (pandas, scikit-learn, TensorFlow, PyTorch) or R, with experience developing and evaluating models on large, complex datasets.
 </li>
 <li>
 Hands-on experience with SQL, data wrangling, and feature engineering, and familiarity with cloud-based data ecosystems such as Azure, Snowflake, or Databricks for scalable data processing.
 </li>
 <li>
 Working knowledge of MLOps practices, including model versioning, experiment tracking (MLflow, DVC), and deployment workflows; experience with Git-based collaboration.
 </li>
 <li>
 Ability to communicate and visualize results effectively using tools such as Power BI, Tableau, matplotlib, or Plotly, translating complex analyses into actionable insights for business and research audiences.
 
 
 </li>
 </ul>
 TRAVEL REQUIREMENTS:
 
 
 <ul>
 <li>
 Occasional travel- 10-15% - may be required for department or program/project meetings, vendor management, or enterprise workshops.
 
 
 </li>
 </ul>
 PHYSICAL REQUIREMENTS:
 
 
 <ul>
 <li>
 Availability and ability to work after hours, weekends, holidays, etc. as needed, to be on call and/or to fulfill job responsibilities and requirements.
 
 
 </li>
 </ul>
 The starting rate is $85,000 to $95,000. The final candidate's relevant experience/skills will be considered before an offer is extended. Actual starting pay will vary based on non-discriminatory factors including, but not limited to, geographic location, experience, skills, specialty, and education.
 
 
 ACS provides staff a generous paid time off policy; medical, dental, retirement benefits, wellness programs, and professional development programs to enhance staff skills. Further details on our benefits can be found on our careers site at: jobs.cancer.org/benefits. We are a proud equal opportunity employer.
</div>

Associate Data Scientist

Marshfield Clinic Health System

Careers With Purpose 
 
Sanford Health, the largest rural health system in the United States, is dedicated to transforming the health care experience and providing access to world-class health care in America&rsquo;s heartland. 
 
Facility: Marsh Med Ctr Beaver Dam
 
Location: Beaver Dam, WI
 
Address: 707 S University Ave, Beaver Dam, WI 53916, USA
 
Shift: 8 Hours - Rotating Shifts
 
Job Schedule: Full time
 
Weekly Hours: 38.00
 
Salary Range: 21.50 - 44.00 
 
Job Summary 
 
Responsible for pre-analytical, analytical, and post-analytical phases of testing. Follows standard operating procedures and ensures laboratory safety, quality and regulatory requirements are met. Serves as a laboratory resource to other health care personnel and collaborates with other departments across the enterprise. Demonstrates critical and independent judgment in decision-making and problem-solving. Performs other related duties as assigned. 
 
Qualifications 
 
Medical Laboratory Technician 
 
Associates degree in Laboratory Science required. 
 
Possess a national certification for Medical Laboratory Technician (MLT) or Clinical Laboratory Technician (CLT) through an approved Health and Human Services (HHS) agency, for example American Society for Clinical Pathology (ASCP); or be registry eligible. Registry eligible candidates must successfully complete the Board of Registry examination within 12 months of employment. If working in North Dakota (ND), must be licensed or have a provisional license, by the ND Board of Clinical Laboratory Practice. Maintain continuing education credits equivalent to the state requirements as needed for license and certifications. May be required to have Basic Life Support (BLS) certification. 
 
Medical Laboratory Scientist 
 
Bachelors degree in laboratory or biological sciences required. 
 
Possess a national certification for Medical Laboratory Scientist (MLS) through an approved Health and Human Services (HHS) agency, for example American Society for Clinical Pathology (ASCP) or be registry eligible. Certification as a Medical Technologist (MT) also acceptable. Registry eligible candidates must successfully complete the Board of Registry examination within 12 months of employment. If working in North Dakota (ND), must be licensed by the ND Board of Clinical Laboratory Practice. Maintain continuing education credits equivalent to the state requirements as needed for license and certifications. May be required to have Basic Life Support (BLS) certification. 
 
Benefits 
 
Sanford offers an attractive benefits package for qualifying full-time and part-time employees. Depending on eligibility, a variety of benefits include health insurance, dental insurance, vision insurance, life insurance, a 401(k) retirement plan, work/life balance benefits, and a generous time off package to maintain a healthy home-work balance. For more information about Total Rewards, visit https://sanfordcareers.com/benefits . 
 
Sanford is an EEO/AA Employer M/F/Disability/Vet. If you are an individual with a disability and would like to request an accommodation for help with your online application, please call 1-877-673-0854 or send an email to talent@sanfordhealth.org . 
 
Sanford has a Drug Free Workplace Policy. An accepted offer will require a drug screen and pre-employment background screening as a condition of employment. 
 
Req Number: R-0255459
 
Job Function: Allied Health
 
Featured: No

Medical Laboratory Scientist / Technician

Gathern

<div>Data Scientist: 
Drive data-driven decision-making by developing analytical models, extracting actionable insights, and translating complex datasets into measurable business impact aligned with company strategy.<div> 
Key Accountabilities: 
<ul><li>Develop predictive and statistical models to support business objectives</li><li>Perform data cleaning, transformation, and feature engineering</li><li>Translate business problems into analytical frameworks</li><li>Build dashboards and data visualizations for stakeholders</li><li>Conduct exploratory data analysis (EDA) to uncover trends and insights</li><li>Collaborate with Product, Marketing, and Engineering teams</li><li>Monitor model performance and ensure continuous optimization</li></ul></div> 
Core Behavioral Competencies:<ul><li>Strategic Vision &amp; Agility &ndash; Proficient</li><li>Growth Mindset &ndash; Proficient</li><li>Scalable Execution &ndash; Proficient</li><li>People Leadership &amp; Talent Development &ndash; Basic/Proficient</li><li>Governance &amp; Ethical Conduct &ndash; Proficient</li><li>Customer Centricity &ndash; Proficient</li><li>Innovative Thinking &amp; Digital Fluency &ndash; Expert</li><li>Stakeholder Management &ndash; Proficient</li></ul><div>
Technical Competencies: 
<ul><li>Data Modeling &amp; Statistical Analysis &ndash; Proficient</li><li>Machine Learning &amp; Predictive Modeling &ndash; Proficient</li><li>Data Wrangling &amp; Feature Engineering &ndash; Proficient</li><li>Data Visualization &amp; Storytelling &ndash; Proficient</li><li>SQL &amp; Database Querying &ndash; Proficient</li><li>Python / R for Data Science &ndash; Proficient</li><li>Experimentation &amp; A/B Testing &ndash; Basic/Proficient</li><li>Model Deployment &amp; Monitoring &ndash; Basic/Proficient</li></ul></div> 
Requirements 
Education:<ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.</li></ul>
 Experience:<ul><li>4&ndash;6 years in data science or advanced analytics roles</li><li>Experience building and deploying machine learning models</li><li>Experience working with large structured and unstructured datasets</li><li>Experience collaborating with cross-functional teams</li></ul></div>

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