applied scientist, artificial general intelligence - data services Jobs in Boston

applied scientist, artificial general intelligence - data services

biomedical informatics research data scientist ii Jobs in Boston

biomedical informatics research data scientist ii

people analytics specialist Jobs in Boston

people analytics specialist

data scientist

Boston Children's Hospital

<div><div><div><div>82703BR</div>
</div><div><div>Computational Health Informatics Program</div>
</div><div><p><b>Job Posting Description</b></p>
<div><b>Department Summary</b><p>
The Computational Health Informatics Program (www.chip.org) at Boston Children&rsquo;s Hospital, a Harvard Medical School affiliate, is seeking a Biomedical Data Scientist to join the SMART Health IT team (http://smarthealthit.org). As a member of the team that has literally defined the national standards for healthcare data APIs and populational level clinical data and created a number of widely adopted open source projects in the space, you will be at the center of data innovation in healthcare.</p><p>
Join our multidisciplinary team advancing data-driven clinical research and clinical decision support (CDS). In this role, key studies include:</p><ul><li>
Inflammatory bowel disease (IBD): building predictive and personalized models to inform therapy selection and disease management.</li><li>
Diabetes: data-driven interpretation of continuous glucose monitoring (CGM).</li><li>
Adverse drug event (ADE) detection in immunosuppressed patients.</li></ul>
Position is hybrid and onsite Tuesday through Thursday.<br>
<br>
<b>Key Responsibilities</b><ul><li>
Develop, analyze, and interpret large biomedical datasets to support clinical research and predictive modeling.</li><li>
Develop repeatable pipelines in Python 3 using pandas, scikit-learn, and other statistical tools.</li><li>
Query and manage health datasets using SQL on AWS cloud</li><li>
Collaborate with clinicians, scientists, and programmers to translate complex health datasets into actionable clinical insights.</li><li>
Contribute to peer-reviewed publications.</li><li>
Create or contribute to a range of compelling communications (e.g., PowerPoint presentations, e-mails, memos, scientific presentations, and publications) that clearly deliver content, preparing communications appropriate for management and internal distributions.</li><li>
Present at project and internal/external meetings; effectively conveying progress and asserting point of view; constructively discusses issues and providing facts; builds credibility and trust by asking thoughtful questions and actively listening; runs productive project meetings that advance problem-solving.</li></ul><b>
Minimum Qualifications</b><br>
<b>Education:</b><ul><li>
Bachelor&rsquo;s degree in a STEM field required; PhD, MD, or MS preferred.</li></ul><b>
Experience:</b><ul><li>
A minimum of one year of position-specific experience might potentially include experience acquired through MSc or Ph.D. studies.</li><li>
Demonstrated proficiency in Python 3 and SQL.</li><li>
Strong foundation in statistics and applied quantitative methods.</li><li>
Familiarity with fast healthcare interoperability resources (FHIR) or large language models (LLM) is a plus and can be learned on the job.</li><li>
Excellent communication, teamwork, and problem-solving skills.</li><li>
Excellent problem-solving ability, collaborative spirit, and scientific curiosity.</li></ul></div>
</div><div><p><b>Status</b></p>
<div>Full-Time</div>
</div><div><p><b>Regular, Temporary, Per Diem</b></p>
<div>Regular
</div></div><div><p><b>Standard Hours per Week</b></p>
<div>40
</div></div><div><p><b>Pay Range</b></p>
<div>$74089.60-$100027.20 Annual</div>
</div><div><p><b>Office/Site Location</b></p>
<div>Boston</div>
</div><div><p><b>Job Posting Category</b></p>
<div>Research</div>
</div><div><p><b>Remote Eligibility
</b></p><div>Part Remote/Hybrid</div></div></div></div><div></div>

Biomedical Informatics Research Data Scientist II

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AI is the most transformational technology of our time, capable of tackling some of humanity&rsquo;s most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
<br>
<br>
We are looking for an Applied Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.<br>
<br>
Key job responsibilities<br>
Specifically, the Applied Scientist will:
<br>
<ul><li>Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.</li><li>Clean, analyze and select speech/language/other data to achieve goals</li><li>Build and test models that elevate the customer experience
</li><li>Collaborate with colleagues from science, engineering and business backgrounds</li><li>Present proposals and results in a clear manner backed by data and coupled with actionable conclusions</li><li>Work with engineers to develop efficient data querying infrastructure for both offline and online use cases</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field 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"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, Artificial General Intelligence - Data Services

Harvard University

<div></div><div><div><div><div><div><div><b>November 05, 2025
</b></div></div><div><div><div><b>001799SR</b></div></div></div></div></div></div></div><p></p>
<br><div><div><div><p>Company Description</p><p><br>
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.</p><p><b>
Why join the Harvard T.H. Chan School of Public Health?</b></p><p>
The Harvard T.H. Chan School of Public Health is a world-renowned institution dedicated to advancing public health through cutting-edge research, education, and global collaboration. Our school is a special place to work because of its vibrant, mission-driven community, interdisciplinary approach, and commitment to addressing some of the most pressing health challenges worldwide. We foster a collaborative and inclusive work environment where innovation, continuous learning, and work-life balance are valued.</p><p>
Learn more about the School&rsquo;s <b>mission, objectives, and core values</b>, <b>our Principles of Citizenship</b>, and about the <b>Dean&rsquo;s AAA vision</b> about our school&rsquo;s ongoing strategic initiatives.</p><p><br>
Job Description</p><p><b><br>
Job Summary:
</b></p><p>The Department of Biostatistics is a very busy and diverse department focused on research and teaching. Our 70+ faculty are leaders in the development of statistical methods for clinical trials and observational studies, studies on the environment, computational biology, and genomics/genetics. We offer degree programs in biostatistics, computational biology and data science; currently, more than 180 students are enrolled in these programs. Our team invites applications for a Programmer position in the National Studies on Air Pollution and Health group (https://www.hsph.harvard.edu/nsaph/). The position will be under the supervision of Principal Research Scientist, Dr. Danielle Braun, in Biostatistics.</p><p><br>
<b>
Job-Specific Responsibilities:</b></p><p>
We are seeking a Programmer to join our dynamic team. Duties and responsibilities include, but are not limited to, the following:</p><ul><li>
Assist with developing and deploying data cleaning, data processing pipelines, data management, variable creation, and variable naming protocols of projects involving electronic health records, administrative claims data, environmental exposure data, and other complex databases using GitHub</li><li>
Maintain databases using R, Python, and SQL in collaboration with members of the research team</li><li>
Create and link customized databases and analytic datasets in UNIX environments</li><li>
Assist in the development, maintenance, and documentation of software in R (including R functions), Python, and SQL</li><li>
Function as a resource for the Senior Programmer, to help debug programs and to access correct data</li><li>
Work on HPC computing clusters and work with cluster computing IT to troubleshoot any issues in collaboration with the Senior Programmer and other team members</li><li>
Develop and refactor code for modular data processing pipelines, utilizing workflow languages and configuration managers</li><li>
Perform data exploration for preparation of datasets for environmental health research</li><li>
Build deployable data products using containers for data processing pipelines and dashboards</li><li>
Support data cataloging via JSON-based metadata schema</li><li>
Perform other duties as assigned</li></ul><p>
PLEASE NOTE: This position has a term end date of June 30, 2026, with the possibility of extension.</p><p>
PLEASE NOTE: Shortlisted candidates will be required to submit work samples (sample code) and/or complete a coding assessment.</p><p><br>
Qualifications</p><p><b><br>
Basic Qualifications:
</b></p><ul><li>2+ years post&#8208;secondary experience required, or combination of education and/or relevant work experience</li><li>
Professional working experience with R, Python, SQL, GitHub, and/or related software required</li></ul><p><b>
Additional Qualifications and Skills:
</b></p><ul><li>Bachelor's or Master&rsquo;s Degree in Statistics, Data Science, Computer Science, Mathematics, Informatics, or other health data related field preferred</li><li>
Knowledge of maintenance and support of IT infrastructure systems within a HPC cluster environment</li><li>
Effective written, verbal, and interpersonal communication skills, as well as efficiency and time management skills</li><li>
Organized with attention to detail and accuracy</li><li>
Experience collaborating with all levels of research team; demonstrated team performance skills</li><li>
Service oriented mindset and approach</li><li>
Desirable experience with version control for team development</li><li>
Awareness of and aptitude to appropriately and effectively understand, respect, and adapt to cultural and identity&#8208; based difference within group environments</li><li>
Knowledge of and commitment to concepts and issues tied to social justice, diversity, equity, and inclusion</li><li>
Skills related to creating and supporting an environment that allows for inclusion, effective intercultural engagement, and personal humility and authenticity</li><li>
Experience fostering and reinforcing an environment that values unique experiences, cultures, backgrounds, and goals</li></ul><p><br>
Additional Information</p><ul><li><b><br>
Appointment End Date: </b>June 30, 2026 with the possibility of extension</li><li><b>
Standard Hours/Schedule: </b>35 hours per week</li><li><b>
Visa Sponsorship Information: </b>Harvard University is unable to provide visa sponsorship for this position</li><li><b>
Pre-Employment Screening: </b>Identity, Education</li></ul><p></p><p><br>
Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country!</p><p>
-</p><ul><li><p>
The Harvard T.H. Chan School of Public Health does not provide visa sponsorship, now or in the future, for staff positions.</p></li></ul><ul><li><p>
Harvard University requires pre-employment reference checks and background screenings.</p></li></ul><ul><li><p>
This position has a 90 day orientation and review period.</p></li></ul><p>
-</p><p>
The health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up to date on CDC-recommended vaccines.</p><div></div><p><b>
Work Format Details</b></p><p>
This is a position that is based at a Harvard campus location with some remote work options available. Additional details will be discussed during the interview process. All remote work must be performed within one of the Harvard Registered Payroll States, which currently includes Massachusetts, Connecticut, Maine, New Hampshire, Rhode Island, Vermont, Georgia, Illinois, Maryland, New Jersey, New York, Virginia, Washington, and California (CA for exempt positions only). Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.</p>
<p><b>
Salary Grade and Ranges</b></p><p>
This position is salary grade level 056. Please visit <b>Harvard's Salary Ranges</b> to view the corresponding salary range and related information.</p>
<p><b>
Benefits</b></p><p>
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:</p><ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul><p>
Learn more about these and additional benefits on our <b>Benefits &amp; Wellbeing Page</b>.</p>
<p><b>
EEO/Non-Discrimination Commitment Statement</b></p><p>
Harvard University is committed to <b>equal opportunity</b> and <b>non-discrimination</b>. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.</p><p>
Harvard has an <b>equal employment opportunity policy</b> that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's <b>non-discrimination policy</b>. Harvard's <b>equal employment opportunity policy</b> and <b>non-discrimination policy</b> help all community members participate fully in work and campus life free from harassment and discrimination.</p></div></div></div>

Programmer

athenahealth

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
<br><br>
We are looking for a Machine Learning Engineer to join the Clinical Foundations data science zone. The zone through collaboration and innovation, identifies, develops accelerate the integration of machine learning technics in Clinicals R&D - our clinicians and patients experience with athenaOne . This role focuses on developing customized models and innovative solutions which can integrate into various workflows, ensuring high reliability, security and scalability by following best practices.
<br><br>
About you
<br>You love to own important work and find it difficult to turn down a good challenge. You are excited about the latest developments in ML and keep abreast of the latest methods and technologies. You have experience building and evaluating ML models. You have strong communication skills and can work with colleagues from a variety of technical and non-technical backgrounds. Finally, you have a strong interest in improving healthcare.
<br><br>
About the team
<br>The athenaClinicals product is a vital component of the athenaOne platform, enabling best experience for our clients and users. The Data Science team is bringing machine learning to bear in automating existing workflows and create more efficient ones. We are working with other engineering leaders in athenaClinicals product to build machine learning into our Best in KLAS suite of products to drive innovation and increase automation. Also, this team is responsible to deploy state-of-the-art machine learning models using cloud technologies.
<br><br>
Job Responsibilities
<br>As a member of the athenaClinicals Data Science team, you are expected to work on projects within scrum teams of 2-4 people and execute the following:
<br><br>
Identify opportunities for different machine learning techniques and evaluate which are best
<br><br>
Assist in developing and deploying ML-based production services to our clients
<br><br>
Understand and follow conventions and best practices for modeling, coding, architecture, and statistics; and hold other team members accountable for doing so
<br><br>
Apply rigorous testing of statistics, models, and code
<br><br>
Contribute to the development of internal tools and AI team standards
<br><br>
Advocate for responsible AI—focusing on fairness, transparency, and data privacy
<br><br>
Actively participate in technical design discussions and propose innovative solutions to complex challenges
<br><br>
Provide timely and constructive code reviews
<br><br>
Mentor and guide fellow engineers, fostering a culture of continuous learning and innovation
<br><br>
<b>Typical Qualifications:</b><br>
<b>Bachelors or Masters in relevant field:</b> Math, Computer Science, Data Science, Statistics, or related field
<br><br>
4-6 years of professional hands-on experience in developing evaluating & deploying machine learning models
<br><br>
Strong software engineering foundations, with expertise in Python and experience developing production-quality systems using best practices in testing, modularity, and documentation
<br><br>
Provide technical & thought leadership, designing and implementing advanced machine learning techniques, focusing on robust & scalable solutions
<br><br>
Experience with training & fine tuning LLMs & GenAI models is a bonus
<br><br>
Familiarity with NLP or computer vision techniques
<br><br>
Experience using the AWS ecosystem a bonus, including Kubernetes, Kubeflow or EKS experience
<br><br>
Familiarity with large-scale data processing frameworks and ETL pipelines (e.g., Spark)
<br><br>
Excellent verbal communication and writing skills
<br><br>
Passion for staying current with AI research and applying novel techniques responsibly in production
<br><br>
Understanding of ethics, fairness, and compliance implications of Ai
<br><br>
Expected Compensation
<br>The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates. Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
<br><br>
About athenahealth
<br><br>
<b>Our vision:</b> In an industry that becomes more complex by the day, we stand for simplicity. We offer IT solutions and expert services that eliminate the daily hurdles preventing healthcare providers from focusing entirely on their patients — powered by our vision to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
<br><br>
<b>Our company culture:</b> Our talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our vision. We are a diverse group of dreamers and do-ers with unique knowledge, expertise, backgrounds, and perspectives. We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count. Our award-winning culture is built around shared values of inclusiveness, accountability, and support.
<br><br>
<b>Our DEI commitment:</b> Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way. That's one reason we prioritize diversity, equity, and inclusion in every aspect of our business, from attracting and sustaining a diverse workforce to maintaining an inclusive environment for athenistas, our partners, customers and the communities where we work and serve.
<br><br>
<b>What we can do for you:</b><br>
Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
<br><br>
We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
<br><br>
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.
<br><br>
<b>Learn more about our culture and benefits here:</b> athenahealth.com/careers
<br>https://www.athenahealth.com/careers/equal-opportunity

Senior Software Engineer – Clinical Foundations

Shopmonkey

<div><p>Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best.</p>
<p>
As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of agentic AI, applying cutting-edge LLMs and co-pilot frameworks to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver AI that's not only intelligent but trusted and useful. You'll move fast to bring AI agents from discovery all the way through production, helping to shape the future of the automotive care experience. <b>Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected to the local team there.</b></p>
<h2 class="jobSectionHeader"><b>
What You Will Do:</b></h2>
<ul><li>Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).</li>
<li>Design and implement workflows and scripts for agentic conversations based on real-world data.</li>
<li>Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.</li>
<li>Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.</li>
<li>Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.</li>
<li>Design evaluation agents to enhance the quality and coherence of autonomous conversations.</li>
<li>Work within a modern MLOps environment to ensure scalable and reliable deployment of models.</li>
<li>Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.</li>
<li>Translate complex ML workflows into digestible updates for cross-functional stakeholders.</li>
<li>Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.</li>
</ul><h2 class="jobSectionHeader"><b>We Are Looking For People Who Have:</b></h2>
<ul><li>Proven experience shipping models into production (not just proof-of-concepts).</li>
<li>Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.</li>
<li>Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).</li>
<li>Cloud infrastructure experience, (e.g. GCP, AWS).</li>
<li>Understanding of MLOps, including orchestration tools like Airflow or Dagster.</li>
<li>Strong collaboration and communication skills&mdash;comfortable working with PMs, designers, engineers and other cross functional team members.</li>
<li>Conducted code reviews and have to ability to provide constructive feedback</li>
<li>Bachelor's degree in a STEM field, or equivalent practical experience.</li>
<li>5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master's or PhD) may offset years of experience.</li>
</ul>
<p><i> </i>Bonus Points:</p>
<ul>
<li>Prior experience working at a high growth startup.</li>
<li>Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).</li>
<li>Background in data processing or real-time analytics.</li>
<li>Experience with Snowflake or other large-scale data warehouse solutions.</li>
</ul>
<p>In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.</p><p></p><div>
<h3 class="jobSectionHeader"><b>
Why Shopmonkey?</b></h3>
<h4 class="jobSectionHeader">Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (<b>benefits below are mainly for U.S. based, full-time employees).</b> Other benefits vary upon location outside of the United States, and employment status:</h4>
<h3 class="jobSectionHeader"><b> Health &amp; Wellness</b></h3>
<ul><li>Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date</li>
<li>Short term and long term disability</li>
<li>Employee assistance program</li>
<li>Reimbursement for a personal health and wellness membership</li>
<li>Generous parental leave</li>
<li>401(k) available upon hire</li>
</ul><h3 class="jobSectionHeader"><b>&#9992;&#65039; Time Off</b></h3>
<ul><li>11 paid holidays</li>
<li>Flexible time off - take the time off you need!</li>
</ul> <h3 class="jobSectionHeader"><b>Giving Back</b></h3>
<ul><li>Matching donations for approved charitable organizations</li>
<li>Group volunteer efforts</li>
</ul><h4 class="jobSectionHeader">Check out our founder's story, life page, or hear from real employees about what it's like to work at Shopmonkey.</h4>
<h4 class="jobSectionHeader">Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.</h4>
<h3 class="jobSectionHeader"><b>About the Industry</b></h3>
<h4 class="jobSectionHeader">The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.</h4>
<h3 class="jobSectionHeader"><b>About Shopmonkey</b></h3>
<h4 class="jobSectionHeader">Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.</h4>
<h4 class="jobSectionHeader">Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.</h4>
<h4 class="jobSectionHeader">In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.</h4>
<p>
In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products &amp; Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023 and 2024.</p>
<h4 class="jobSectionHeader"><i>
Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.
</i></h4><h4 class="jobSectionHeader"><i>Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</i></h4>
<p><i>
Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at </i><i>hiring@shopmonkey.io</i><i>.</i></p>
<p><b>
Please note: </b>Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:</p>
<ul>
<li>Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.</li>
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Senior ML Engineer

S4 Market Data

<div><p>Summary:</p><p><b>
**PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply**</b></p><p>
The Market Data Administrator at S4 Market Data will oversee the administrative functions of client projects and be responsible for supporting the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries from clients as it relates to inventory management, procurement requests and renewals, and supporting the lead analyst with any project/task based related inquiries. The ideal candidate will have market data administrative experience; performing moves/adds/changes in inventory (FITS/MDSL), updating contract/pricing records, and reconciling invoices. Having a financial and/or consulting background for this role is preferred.
</p><p></p><p>Responsibilities:</p><ul><li>
Handle day-to-day administrative inquiries from internal business units and our lead analysts, including but not limited to; entitlement requests, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, and invoices reconciliation.
</li><li>Keep an updated inventory of contracts, services, pricing, users, and vendors. Perform month-end reconciliations and ensure that our data is always accurate and current.
</li><li>Interact with the client&rsquo;s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers. Resolve any procurement issues.</li><li>
Provide client and project support for our lead analysts and perform analyses or data related tasks in Excel as requested.</li><li>
Support lead analyst with any internal client SLA reporting for regular team meetings and client deliverable updates.
</li><li>Perform business development and other duties as required by manager(s) and founder(s).
</li></ul><p>Qualifications:
</p><ul><li>Relevant experience in financial services or market data or work experience in consulting is preferred. Knowledge of FITS/MDSL inventory systems is preferred.</li><li>
Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.). Intermediate Excel skills are required.
</li><li>Excellent communication and task/time management skills are preferred. Display a high level of time management skills in order to manage multiple and elaborate requests simultaneously.
</li><li>Have a high energy and be a self-starter with the ability to work independently and as part of a team.
</li></ul><p></p><p>95vb3l0VQ0</p></div>

Market Data Administrator

Thermo Fisher Scientific

<div><p><b>Work Schedule</b></p>
First Shift (Days)<p></p><p><b>
Environmental Conditions</b></p>
Adherence to all Good Manufacturing Practices (GMP) Safety Standards, Laboratory Setting<p></p><p><b>
Job Description</b></p><p></p><p><b>
Scientist - FSP &ndash; Cell Culture</b></p><p>
Shift: Full-Time; Monday &ndash; Friday; 8am-5pm EST</p><p></p><p><b>
ONSITE:
</b></p><p>This is a fully onsite role based at our customer&rsquo;s site in <b><i>(Boston, MA).</i></b> We welcome applicants from all locations within the US. Please note that relocation assistance is not provided for this position, and any relocation costs will be the responsibility of the candidate.</p><p>
Must be legally authorized to work in the United States without sponsorship.</p><p>
Must be able to pass a comprehensive background check, which includes a drug screening.</p><p></p><p>
At Thermo Fisher Scientific, you&rsquo;ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life - enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development and delivery of life-changing therapies. With clinical trials conducted in 100+ countries and ongoing development of novel frameworks for clinical research through our PPD clinical research portfolio, our work spans laboratory, digital and decentralized clinical trial services. Your determination to deliver quality and accuracy will improve health outcomes that people and communities depend on &ndash; now and in the future.</p><p>
Thermo Fisher's clinical research business is a leading global contract research organization and world leader in serving science. We are passionate, deliberate, and driven by our mission &ndash; to enable our customers to make the world healthier, safer, and cleaner.</p><p>
Within our Analytical Services team, we have a functional service provider solution, which is a unique partnership that allows our customers to leverage the experience of our staff, while allowing you, the employee, to gain direct experience working onsite at a pharmaceutical/ biopharmaceutical company, all while maintaining full-time benefits.</p><p></p><p><b>
Key responsibilities:</b></p><ul><li>
Cell culture experience in 2D (3D is plus)</li><li>
Completes experiments in a reliable, consistent manner</li><li>
Demonstrates a high level of attention to detail and follows SOP strictly</li><li>
Performs initial analysis of experimental data and interprets immediate experimental outcomes</li><li>
Records experiments and results in laboratory notebooks (including all electronic systems) in accordance with lab procedures</li><li>
Recognizes problems and suggests experiments to troubleshoot issues</li><li>
Clearly and effectively communicates (both written and verbal) results</li></ul><p></p><p><b>
Education and Experience:
</b></p><ul><li>Bachelor's degree in lab sciences such as Chemistry, Biochemistry, Material Science, Immunology, Biology, Molecular Biology or similar</li><li><b>
Scientist:</b> Previous experience that provides the knowledge, skills, and abilities to perform the job <b>(comparable to 2+ years&rsquo;)</b></li><li>
OR <b>Masters</b> degree</li></ul><p></p><p>
In some cases, an equivalency, consisting of a combination of appropriate education, training and/or directly related experience, will be considered sufficient for an individual to meet the requirements of the role.</p><p></p><p><b>
Knowledge, Skills and Abilities:
</b></p><ul><li>Experience with human cell culture techniques</li><li>
Teachable mindset capable of learning protocols to execute stem cell differentiations, producing consistent, high-quality product</li><li>
Ability and willingness to work rotating weekend shifts according to business needs</li><li>
Adaptive to a time-line driven work environment</li><li>
Multitasking skills, attention to detail and ability to work in a collaborative team environment</li><li>
Work with cross-functional teams to plan, coordinate, and execute experiments.</li><li>
Great interpersonal/teamwork skills and positive attitude</li></ul><p></p><p><b>
Working Environment:
</b></p><p>Below is listed the working environment/requirements for this role:</p><p>
Able to communicate, receive, and understand information and ideas with diverse groups of people in a comprehensible and reasonable manner.</p><p>
Able to work upright and stationary and/or standing for typical working hours.</p><p>
Able to lift and move objects up to 25 pounds</p><p>
Able to work in non-traditional work environments.</p><p>
Able to use and learn standard office equipment and technology with</p><p>
proficiency.</p><p>
May have exposure to potentially hazardous elements, including infectious agents, typically found in healthcare or laboratory environments.</p><p>
Able to perform successfully under pressure while prioritizing and handling multiple projects or activities.</p><p><b>
Benefits</b></p><p>
We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation!</p></div><p></p>

Scientist – Cell Culture

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