We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives. 

Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

Industry: Fabrication de produits pharmaceutiques
Company Size: + de 10 000 employés

Sanofi

Savvy Admin PROD

**Job title **:~~Senior Scientist Automation and Advanced Modeling~~

- Location: Cambridge, MA

**About The Job**

We are seeking highly motivated individual to join our drug substance process engineering and modeling team. As a technical expert in process engineering and modeling, you will play a key role in advancing our global engineering department within Sanofi’s R&D CMC Synthetic organization. This position is located in Cambridge MA and will collaborate closely with colleagues in France to support digital development and implement new ways of working.

Your expertise in chemical engineering, process system modeling, and lab automation will be crucial in creating a self-driving lab for small molecule drug substance process development and optimization. You will help developing automated experimental workflows to generate data for model building, advancing the creation of digital twins and driving innovation in pharmaceutical process development.

We believe that lab automation and digital development are crucial for the future of process development in Pharma. By joining our team, you will be at the forefront of this transformation, using your expertise to push the boundaries of process engineering.

This is an exciting opportunity to demonstrate the benefits of process modelling and data science in a cutting-edge scientific department developing the next generation of Sanofi medicines that will improve the quality of life for patients across the world.

Join the engine of Sanofi’s mission — where deep immunoscience meets bold, AI-powered research. In R&D, you’ll drive breakthroughs that could turn the impossible into possible for millions.

**About Sanofi**

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives.

**Main Responsibilities**

Lab automation & data generation:

-  You will work closely with laboratory teams (process chemists, engineers, and the high-throughput experimentation team), fostering strong partnerships with scientists to deeply understand their research processes. Your goal will be to design, develop, and deploy cutting-edge automated systems, robotics, instrumentation, and digital workflows that significantly enhance the productivity and efficiency of our labs.

- You will be responsible for programming and developing automated laboratory systems. This includes supporting software development and deployment to automate workflows, integrating analytical instruments with laboratory software, and ensuring seamless communication between instruments and Sanofi's internal data management services.

- Mechanistic & data-driven model building - As part of matrix project teams, build mechanistic, hybrid, and data-driven modeling solutions to support small molecule process development. Collaborate with process development teams to integrate crystallization modeling into the overall process design and optimization workflow.

- Model deployment at scale – Assist in the development and deployment of digital twins for both batch and continuous processes, ensuring alignment with Quality by Design (QbD) principles. You will play a key role in implementing and scaling Model Predictive Control (MPC) systems, leveraging advanced process models to optimize performance in real-time, maintain product quality, and enhance operational efficiency across large-scale manufacturing environments.

- Provide concise technical presentations to communicate work to project teams, cross functional teams and management.  Document all work on projects and continuous improvements in eLNB experiments and summarize in Technical Reports.

- Establish/extend external network by providing leadership on academic, industrial, or government sponsored collaborations.  Steer collaboration projects to address gaps in scientific knowledge.

**About You**

- PhD or PhD candidate in chemical engineering, mathematics, physics or related with expected graduation date by first semester of 2027 with 0+ years of experience academic experience will be considered) OR a master's degree in chemical engineering, mathematics, or physics or related with a minimum of 4 years of experience (academic experience will be considered) OR a bachelor's degree in chemical engineering, mathematics, or physics with a minimum of 8 years of experience.

- Strong skills in writing and optimizing scripts in programming languages such as Python/Matlab/C#/Visual Basic.

- Experience with crystallization modeling and/or simulation tools (e.g., gPROMS).

- Experience in designing and implementing automated laboratory processes from the initial concept through to full deployment.

- Demonstrated ability to translate mathematical models into computer programs.

- An ability to work as part of a team, engaging other scientists with complementary skill sets in the field of pharmaceutical development.

- A change agent mentality, proposing novel approach to challenging scientific questions and exploring new modeling approaches.

**Preferred Qualifications**

- Familiarity with laboratory analytical measurement instruments or relevant work experience in a pharmaceutical sciences laboratory setting.

- Domain knowledge in small molecule process development with demonstrated industrial applications or academic publications in this field.

- Some knowledge in Multivariate Analysis, chemometrics and statistics.

- Experience in the development and scale-up of continuous processes.

**Why Choose Us**

- Bring the miracles of science to life alongside a supportive, future-focused team.

- Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.

- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.

- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.

- Be part of a pioneering biopharma company that engages patients early in drug development and uses their insights to design studies that reflect real-world needs.

- Help improve the lives of millions of people globally by making drug development quicker and more effective.

- Work at the forefront of drug discovery, harnessing cutting-edge AI, data, and digital platforms to push the boundaries of science.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

#GD-SA

#vhd

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Senior Scientist Automation and Advanced Modeling

Lila is a technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method.

Industry: Research Services
Company Size: 51-200 employees

Lila Sciences

**Your Impact at LILA**

As a Senior Research Associate / Scientist on the Platform Science team within Lila's Autonomous Science Platform, your work will directly contribute to building Lila's next-generation, AI-driven research capabilities. You will have the opportunity to pioneer novel automated instruments centered around advanced processing and characterization of solid state materials — at the critical intersection of hardware, software, and scientific inquiry.

This role is a unique blend of hands-on engineering and scientific investigation, where you will prototype, automate, and validate the platforms that will define the lab of the future. You will operate across a broad set of disciplines, working closely with the vacuum synthesis, platform science, and characterization teams to build tools that dramatically accelerate the pace of scientific discovery and support active research campaigns across multiple initiatives.

**What You'll Be Building**

- Design, construct, and integrate novel automated experimental platforms with a material emphasis on solid state synthesis and novel processing methods, working in close collaboration with the vacuum synthesis, platform, and characterization teams to align on system requirements and share technical knowledge.

- Work hands-on to integrate hardware components, including optics, robotics, and sensors, into a cohesive, automated workflow.

- Develop end-to-end software stacks from instrument control to data stewardship and integration with downstream models.

- Analyze instrument data to validate system performance, troubleshoot issues, and support research initiatives designed to establish and expand the capabilities of new platforms.

- Collect, document, and interpret experimental data across active research campaigns, ensuring data quality and traceability in support of platform and scientific objectives.

**What You'll Need To Succeed**

- Masters or Bachelors in Physics, Engineering, Chemistry, Materials Science, or a related field, or Bachelors with equivalent industry experience.

- Hands-on experience building automated instrumentation, including both hardware integration and software control.

- Proficiency in a programming language used for instrument control and data analysis (Python, C#).

- Strong foundational knowledge in engineering principles, including optics, electronics, and/or mechanical design.

**Bonus Points For**

- Experience with the operation and safety protocols of Class 4 laser systems.

- Familiarity with vacuum-based synthesis techniques such as physical vapor deposition, sputtering, or pulsed laser deposition.

- Experience with solid state materials characterization methods (e.g., XRD, SEM, optical microscopy).

- An inventive, problem-solving mindset with a passion for building new things and tackling open-ended challenges.

- A safety-focused approach with strong communication and teamwork skills across multidisciplinary environments.

CompensationWe offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Expected Base Salary Range: $80,000 USD - $118,000 USD

**About LILA**

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

**We’re All In**

Lila Sciences 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.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

**A Note to Agencies**

~~Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto. ~~

Senior Research Associate/Associate Scientist, Platform Scientist

Formlabs is expanding access to digital fabrication, so anyone can make anything. Headquartered in Somerville, Massachusetts with offices in Germany, Japan, China, Singapore, Hungary, and North Carolina, Formlabs is the professional 3D printer of choice for engineers, designers, manufacturers, and decision makers around the globe. Formlabs products include the Form 3, Form 3B, Form 3L, and Form 3BL powered by an advanced form of stereolithography (SLA) called Low Force Stereolithography (LFS)™ 3D printing, Form Wash and Form Cure post-processing solutions, Fuse 1 SLS 3D printer, and Form Cell manufacturing solution. Through its Factory Solutions offering for industrial users, Formlabs provides the factories of tomorrow with the flexibility and versatility needed for demanding, evolving industrial applications. Formlabs also develops its own suite of high-performance materials that continue to push the boundaries for 3D printing, as well as best-in-class 3D printing software

Industry: Computers and Electronics Manufacturing
Company Size: 501-1,000 employees

Formlabs

**About Formlabs**

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

**Your Impact**

- As the People Analytics and Compensation Lead, you will directly shape how Formlabs scales its most valuable asset—its talent. By architecting a transparent, data-driven compensation system and building a mature people analytics function from scratch, your work will serve as the engine behind our global talent strategy. You will turn raw workforce data into a single source of truth that guides executive board decisions, builds deep trust with engineering and business leaders, and ensures Formlabs remains highly competitive in attracting top-tier innovators worldwide.

**What You’ll Do**

Compensation system

- Own the design, maintenance, and evolution of Formlabs' global compensation system: bands, levels, ranges, philosophy, equity, variable, and operational policies

- Source, evaluate, and select benchmark data; ensure benchmark inputs have critical mass and are explainable to non-experts

- Design compensation structures for international markets including in EMEA and APAC

- Author and maintain the manager-facing compensation philosophy; ensure it can be explained simply and coherently

- Partner with the People Business Partners, who own individual compensation recommendations to managers and the business

- Partner with Finance on planning cycles, merit cycles, and total comp cost forecasting

People analytics

- Own the people scorecard — a finite, durable set of metrics that flow consistently into QORs, board updates, and leadership reporting

- Own engagement reporting and ensure it is broadly adopted at all levels of management

- Own ad-hoc people analytics projects as needed — team-based diagnostics, benefits analyses, retention, and other targeted analytical work

Recruiting operations and analytics

- Work in partnership with Recruiting leadership to develop excellent recruiting analytics

- Maintain the core recruiting metrics

- Partner with the Recruiting team on operational improvements surfaced by the data

**About You**

- Are a first-principles thinker — you start from the problem and build the right answer, not from a framework and adapt it

- Have natural curiosity — are driven to understanding the underlying question, not to complete a project list

- Operate by the "think big and simplify" principle — refuse to ship things that cannot be explained simply

- Are analytically rigorous; comfortable with ambiguity in data and the judgment calls underneath the numbers

- Comfortable with modern data and AI tools — use them as leverage to move with velocity through large data projects

- Have high personal standard for credibility — the system has to be trustworthy to managers, employees, and the board

- Have strong written communication — can write a compensation philosophy that a skeptical engineering manager will read and trust

- Exhibit high ownership; ship durable systems, not project deliverables

- 5+ years of relevant experience in compensation, total rewards, workforce analytics, or equivalent

**Bonus Skills**

- Managing a team/direct reports

- Experience using Greenhouse or ATS, and CultureAmp or HRIS

- MBA and/or quantitative business experience

- Global business knowledge and exposure in the tech space

**Our Benefits & Perks**

- Robust equity program to build future wealth through RSUs

- Comprehensive healthcare coverage (Medical, Dental, Vision)

- 401K matching and access to financial advisors

- Generous paid Parental Leave (up to 16 weeks)

- Tenure-based paid Sabbatical Leave (up to 6 weeks)

- Flexible Out of Office Plan – Take time when you need it

- Ample on-site parking & pre-tax commuter benefits

- Healthy on-site lunches, snacks, beverages, & treats

- Regular sponsored professional development opportunities

- Many opt-in culture events across our diverse community

- And of course… unlimited 3D prints

~~We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.~~

**Even if you don't check every box, but see yourself contributing, please apply. ** Help us build an inclusive community that will change the face of 3D printing.

**Compensation**

We are all owners of Formlabs and direct beneficiaries of our success. We believe that equity is a critical component of compensation at Formlabs, and we want our newest team members to understand the potential value of their equity compensation. Full time employees receive equity, in the form of RSUs. Your financial investment will grow with us in accordance to your impact.

At Formlabs, base pay is one part of our total compensation package and is determined within a range. Your base pay will depend on your skills, qualifications, experience, location and expected impact on the organization.

**The Annual Base Pay Range For This Role Is**

$140,000—$184,000 USD

People Analytics & Compensation Lead

The Central Administration (CADM) Talent Acquisition Group advances Harvard University's mission of excellence by attracting, engaging, and hiring top-tier talent who are committed to innovation, service, and impact. We serve as strategic partners in building a workforce that supports the University's academic and operational goals. Through collaborative relationships and a deep understanding of the University’s complex and evolving needs, we deliver high-quality, efficient, and forward-thinking talent strategies.

Industry: Higher Education
Company Size: 10,001+ employees

Harvard Central Administration (CADM) Talent Acquisition

**Company Description**

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.

**Why join Harvard University Central Administration?**

Harvard University's Central Administration (CADM) is a 5,000+ employee organization that supports the university's overall excellence by understanding and serving the needs of its schools, students, faculty, staff, alumni, and surrounding communities. Through dynamic and collaborative partnerships, CADM provides high-quality and efficient services to the schools to help them achieve their goals.

**Job Description**

Technician to work in the Campus Services Electrical Distribution Group. Will be involved in all aspects of testing and calibration, as well as the installation, operation, metering, and maintenance of Harvard University's low- and medium-voltage distribution systems, to ensure the safe and reliable delivery of electric power to the campus.

**Physical Requirements:**

- The candidate must be physically fit and able to climb staging and ladders, lift manhole covers, and maneuver power circuit breakers.

- The candidate may be required to bend, reach, and hold position for extended periods of time.

- Occasional heavy lifting and considerable walking, climbing, and stooping are involved.

- The candidate must be capable of wearing a full body harness for confined space work and be able to pass a medical physical.

**Working Conditions:**

- Emergency Status Designation: Critical Operations Personnel

**Qualifications**

**Basic Qualifications:**

- The candidate must have a Massachusetts Journeyman's license for a minimum period of five years; extensive experience in various aspects of testing, operating, inspecting and calibrating relays, metering equipment, medium and low voltage power circuit breakers and switches, switchboards, 5kv and 15kv cable and various types of power distribution and control transformers in existing and new installations.

- Proficiency in equipment operation and controls, system grounding, infra-red scanning and maintenance of utility- type (up to 15kV) distribution systems and ancillary equipment; up to and including underground manholes and ductbanks.

- Experience in the installation and maintenance of miscellaneous low voltage electrical systems and equipment and of electric motors and starting equipment and of electric motors and starting equipment.

**Additional Qualifications and Skills:**

- The candidate must have experience in preparing technical test reports; reading and interpreting plans, specifications, operating manuals and other written materials associated with this operation.

- Working knowledge of NETA acceptance and maintenance specifications.

- Must be able to work independently and take initiative when necessary, as well as capable of working as a member of a team in conjunction with other trades.

- Must observe and comply with all standard safety codes and practices, and perform work in accordance with regulatory and university standards.

- Must be able to routinely communicate with peers and customers, in a clear and professional manner.

- The candidate must be familiar with OSHA regulations concerning electrical safety and those concerning lockout/tagout procedures and work in confined spaces.

- All training courses concerning safety, operational, testing, grounding, and maintenance practices completed by the candidate must have been conducted by an organization recognized by the University as a qualified authority.

- Proficiency with Word and Excel

- The candidate must be available to work scheduled and unscheduled overtime hours, that include extended hours outdoors, in inclement weather.

- Required to supply a complete set of hand tools.

- Should be willing to use own vehicle throughout the campus.

**Certificates and Licenses:**

- MA Journeyman's License

- Must have a valid MA state drivers license and have a satisfactory driving record.

Additional Information

**Work Schedule:**

- Sunday: OFF

- Monday: 6:00 am - 2:30 pm

- Tuesday: 6:00 am - 2:30 pm

- Wednesday: 6:00 am - 2:30 pm

- Thursday: 6:00 am - 2:30 pm

- Friday: 6:00 am - 2:30 pm

- Saturday: OFF

**Standard Hours/Schedule:**

- 40 hours per week

**Compensation Range/Rate **(including Shift Differential if applicable)**:**

- $71.00

**Visa Sponsorship Information:**

- Harvard University is unable to provide visa sponsorship for this position

**Pre-Employment Screening:**

- Criminal

- DMV

- Drug Testing

- Employment

- Identity

- License(s) and/or Certification(s)

- References and Background Checks

**Work Format Details**

This position has been determined by school or unit leaders that all duties and responsibilities must be performed at a Harvard or Harvard-designated location. Certain visa types may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

**Salary Grade and Ranges**

This position is salary grade level 000. Corresponding salary information can be found in the job description above.

**Benefits**

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:

- Generous paid time off including parental leave

- Medical, dental, and vision health insurance coverage starting on day one

- Retirement plans with university contributions

- Wellbeing and mental health resources

- Support for families and caregivers

- Professional development opportunities including tuition assistance and reimbursement

- Commuter benefits, discounts and campus perks

Learn more about these and additional benefits on our Benefits & Wellbeing Page.

**EEO/Non-Discrimination Commitment Statement**

Harvard University is committed to equal opportunity and non-discrimination. 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.

Harvard has an equal employment opportunity policy 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 non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

High Tension Technician

Iterative Health is a healthcare technology & services company on a mission to provide timely access to a higher standard of gastroenterology care. With deep expertise in artificial intelligence and clinical research, we’re empowering healthcare professionals to provide consistently high-quality colorectal cancer screenings and supporting clinical research teams and study sponsors to expand and accelerate patient access to novel therapeutics. The company is based in Cambridge, Massachusetts, with offices across the United States.

Recruitment Impersonation Notice: It has come to our attention that one or more individuals have recently been falsely representing themself to be an Iterative Health recruiter and/or hiring manager in email and/or LinkedIn communications with job candidates. We have notified authorities of this conduct. Please note that genuine messages from our team only come from official Iterative Health emails (@iterativescopes.com or @iterative.health) or via one of our recruiters, identified clearly as such, on LinkedIn. If you receive any suspicious messages or would like to verify that your communication with our team is authentic, please do not hesitate to reach out to us at recruiting@iterative.health. Notifying our team will in no way impact any potential hiring decisions made by Iterative Health.

Industry: Biotechnology Research
Company Size: 51-200 employees

Iterative Health

Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. The Iterative Health Site Network is a premier network of 100+ clinical research sites across the US and Europe, accelerating the path to market for novel therapies. By combining deep expertise in clinical trials with cutting-edge AI, we empower research teams and study sponsors to expand and expedite access to novel therapeutics for patients in need.

**About the Role **

As the Director, Strategy & Operations - Growth, you will report to the VP, Growth and serve as the leader of Iterative Health's biological specimen collections business. This is a senior, highly autonomous role for an operator who is equally comfortable setting strategy and rolling up their sleeves to execute. You will own the go-to-market strategy, lead the full build-out of the business, and hold accountability for performance. You will also lead and develop the team that runs the day-to-day of collections operations. The ideal candidate brings a strong strategic and analytical foundation from management consulting or a high-growth startup environment, paired with the operational horsepower and ownership mindset to build something from the ground up.

**Responsibilities **

**Go-to-Market Strategy **

- Own the go-to-market strategy for Iterative Health's biological specimen collections business — defining the service offering, target customer segments, competitive positioning, and path to scale

- Define what we sell and how we sell it: Work with Business Development to scope the collections service model, establish pricing frameworks, and develop the materials and narrative needed to bring the offering to market

-  Identify and size the resourcing, infrastructure, and capability requirements needed to support the strategy and inform investment decisions

**Business Build-Out **

-  Lead the end-to-end build-out of the biological specimen collections business — standing up operational capabilities, and establishing the processes and infrastructure needed to execute at scale

- Own vendor contracting and relationships, including selection, negotiation, onboarding, and ongoing performance management for all collections-related vendors

- Partner with the Business Development team to develop and progress a pipeline of collections studies, supporting sponsor engagement and proposal development

- Work cross-functionally with site operations leaders to identify and onboard the right site network to support collections studies

**Business Performance Ownership **

- Own execution quality and sponsor satisfaction on active collections studies, serving as the senior point of escalation and ensuring trials are delivered to the highest standard

- Define and track KPIs across the business; use performance data to identify gaps, course-correct quickly, and communicate progress to senior leadership

**Team Leadership **

- Lead, develop, and hold accountable a team that includes pre-screeners, central Clinical Research Coordinators, and a Clinical Operations Manager — setting clear performance targets and maintaining a high-performance culture

- Train team members on workflows, protocols, and quality standards, and ensure the team has the tools, processes, and support needed to execute at pace

- Set the operational tempo for the team — running structured operations, maintaining visibility into study and team performance, and driving accountability at every level

**Required Qualifications **

- BS/BA or higher degree; advanced degree (MBA, MPH, or equivalent) strongly preferred

- 7+ years of experience in a strategic and operational role, with meaningful exposure to building or scaling a business — prior experience in management consulting, a high-growth startup, or a general management capacity is strongly preferred

- Experience leading cross-functional build-outs — standing up new capabilities, managing vendors, and driving commercial pipelines

- Proven people leadership experience with the ability to recruit, develop, and hold accountable a high-performing team

- Exceptional organizational and project management skills with the ability to manage multiple high-stakes workstreams simultaneously

- Strong executive presence and communication skills — able to represent the business credibly with sponsors, vendors, and senior internal stakeholders

- Comfortable operating with significant autonomy and building structure in ambiguous, fast-moving environments

**Preferred Qualifications **

- Experience in life sciences, clinical research, or healthcare services — particularly in biological specimen collections studies

New York pay range: $175,000 USD - $225,000 USD

At Iterative Health, we’re actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

Director, Strategy & Operations - Growth

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