\nAt Fullscript, we’re not just changing healthcare—we’re making it whole.\n\n\nWe help 100,000+ healthcare practitioners support 10 million patients with a platform that delivers evidence-based health solutions, diagnostic support, and practitioner tools—all in one place.\n\n\nHealthcare today is disconnected. We’re fixing that. Fullscript makes it easier for practitioners to treat the whole person, not just symptoms, so patients get the support they need—when they need it.\n\n\nWe’re building a better way—one where healthcare is connected, complete, and built for impact.\n\n\n\n\n📊 BUILD DATA. DRIVE INSIGHTS. IMPACT HEALTHCARE.\n\n\nWe’re seeking a Senior Data Analytics Engineer for our Data Commercial team. The Data team is both a support function and strategic partner at Fullscript and will continue to be a key area of business value going forward. Data is used to drive effective decision-making and growth through opportunity analysis, experiment design and iteration,, and building dynamic experiences for our customers. We are investing heavily in the coming years to make data more accessible to our internal teams and to leverage it within our application to provide our practitioners and patients with data-driven tools and experiences.\n\n\nAs the Senior Data Analytics Engineer, you will be building the data platform that powers our decision-making and growth. This same platform also provides key insights about our practitioners and their patients through analytics and advanced metrics.\n\n\n\nWhat you'll do: \n* Work cross-functionally to help maintain, build and deploy a Commercial data warehouse to serve reporting, analytical, and self-service needs for key Fullscript stakeholders\n* Work with your leader and team to collaborate on initiatives across functions such as Analytics, Commercial, and RevOps to understand and improve their data\n* Write data transformation code in ELT pipelines to integrate that data into our data warehouse for consumption by the reporting and data analytics functions\n* Mentor and provide technical guidance to junior members of the data engineering team\n* Work with other data engineers to create and populate the data models for downstream consumption, and write the necessary tests to ensure data quality\n* Apply advanced data engineering techniques to optimize performance and scalability of data pipelines\n* Leverage AI and machine learning to build models that are responsive to business requirements and enable the delivery of streamlined, dynamic experiences for customers\n* Apply version control, testing and continuous integration (CI) in the data transformation code\n* Create and maintain data documentation and definitions\n\n\n\nWhat you bring to the table: \n* 5+ years in Data Analytics and/or Data Engineering position as part of ETL/ELT process or data insights development\n* Strong proficiency with SQL and experience using Python for data transformation\n* Experience working with dbt (data build tool)\n* Experience working with Cloud Data warehouses like Snowflake, BigQuery, Redshift and RDBMS (PostgreSQL, MySQL)\n* Hands-on experience with data modeling, schema design, and optimization techniques\n* Proven track record of implementing and maintaining data transformation pipelines using tools like dbt (data build tool), Argo, Airflow, or similar workflow orchestration tools\n* Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologies\n* Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders\n* Continuous learning mindset with a keen interest in exploring new technologies and methodologies in the data engineering space\n\n\n\nBonus qualifications: \n* Experience with DevOps practices and tools for automated deployment and infrastructure management\n* Practical experience building and deploying data models that leverage AI and machine learning (using Azure, AWS, Snowflake, etc.)\n* Familiarity with machine learning concepts and frameworks for implementing predictive analytics solutions\n* Previous experience in a leadership or mentorship role within a data engineering team\n* Write us a cover letter explaining why data engineering is of special interest to you\n\n\n\nWhat we can offer you:\n* Generous PTO and competitive pay \n* Fullscript’s RRSP match program for financial health \n* Flexible benefits package and workplace wellness program\n* Training budget and company-wide learning initiatives \n* Discount on Fullscript catalog of products \n* Ability to work Wherever You Work Well*\n\n\n\n\n\n\nWhy Fullscript?\n\n\nGreat work happens when people are supported, challenged, and inspired. Here, you’ll be part of a team that:\n\n\n⬦ Values innovation—we push boundaries and always look for better ways.\n⬦ Supports growth—through learning, mentorship, and meaningful work.\n⬦ Cares about balance—with flexible work options and time off when you need it.\n\n\n📌 Apply now—let’s build the future of healthcare, together.\n\n\nFullscript is an equal-opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request—email [email protected] for support.\n\n\nBefore joining the team, all candidates who receive and accept an offer will complete a background check.\n\n\n🚀 MORE INFO: www.fullscript.com | www.rupahealth.com | Follow us on social media @fullscriptHQ\n🔥 IN THE NEWS: Fullscript acquires Rupa Health\n📺Let’s make healthcare whole \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Cloud, Senior, Junior and Engineer jobs that are similar:\n\n $67,500 — $120,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

\nBiobot, a leader in wastewater-based epidemiology, is seeking a new team member for the Data Science Team. As a Quantitative Epidemiologist, you will identify and tackle the most important analytical problems and questions arising from wastewater data, with an emphasis on how we transform this novel stream of information into actionable insights that can be used to improve human health. Ideal candidates will have experience using advanced analytical methodologies to develop epidemiological models, implementing these models reliably in a production environment, and deploying them using one or more modern cloud compute frameworks.\n\n\n\nEssential Duties and Responsibilities (What you will be doing): \n* Work with our Product team and customers to identify the most important analytical problems in substance use and infectious disease wastewater based epidemiology.\n* Propose and scope multiple candidate approaches to solve these problems including the application of both existing epidemiology methods and novel alternatives.\n* Rank these candidates and choose an approach considering not only the primary question to be answered, but also model complexity, interpretation, and scalability.\n* Rapidly prototype and share your work with the broader Data Science group and Product organization soliciting feedback and building team-wide conviction about results and their implications.  You will also be expected to provide constructive feedback to others.\n* Manage your code in Gitlab and create detailed documentation of both code and results.\n* Collaborate closely with our Software Engineering team to create a final production version of any feature chosen for launch and deploy it within our preferred compute framework (AWS, Snowflake, Snowpark, dbt).\n* Partner with our Product and Marketing teams to create customer facing technical documentation and product collateral.\n* Occasionally participate in calls with customers requiring more technical support.\n* Collaborate effectively with scientists and non-scientists, inside and outside the Data Science group and share your specific skills and expertise with the team.\n* Work independently and prioritize among multiple important tasks.\n* Be a flexible team player prioritizing company success.\n\n\n\nEducation and/or Work Experience Requirements (What you need to succeed): \n* PhD, or comparable combination of education and experience, in Epidemiology, Health Sciences, Data Science, Biostatistics, Bioengineering, or a related field\n* 5+ years experience developing advanced analytical models to solve problems in Epidemiology, Public Health, or a related space\n* Strong preference for candidates with recent tech/biotech industry experience developing and delivering data- or analytics-based products\n* Expertise in statistical, analytical, and data science methods, including advanced regression, bootstrapping, nonparametric statistics, simulation, Frequentist or Bayesian modeling, and compartmental or agent-based modeling\n* Mastery of Python including advanced analytical libraries/tools (e.g. NumPy, Matplotlib, pandas, scikit learn, PyTorch)\n* Proficiency in modern software development tools, patterns and concepts including version control (git), cloud computing (AWS), CI/CD, test-driven development, containerization and model deployment\n* Willingness to develop deeper expertise in both Infectious Disease Epidemiology and Substance Use Epidemiology\n* Willingness to share your technical expertise with your colleagues to support their success\n* Ability to communicate the health and business implications of complex features and one-off analyses to non-scientific audiences\n\n\n\nEducation and/or Work Experience Bonuses (What will help you succeed): \n* Experience with R\n* Expertise in Infectious Disease Epidemiology or Substance Use Epidemiology\n* Expertise in addressing bias and confounding in epidemiological analyses\n* Experience with our assay platforms -- qPCR, ddPCR, LCMS, NGS\n* Expertise in Public Health, such as work experience in state or local DPHs\n* Experience in Environmental Health or wastewater systems\n* Interest in mentoring or managing other data scientists\n\n\n\nPhysical Requirements and Special Demands: \n* Standing or sitting for several hours at a time\n* Listening and speaking clearly on video conferencing for several hours a day\n\n\n\n\n\nCompensation Information: \nWe welcome applications from a diverse range of candidates, spanning from Senior Data Scientist to Staff Data Scientist levels.   Compensation will be determined based on the candidate's experience, skills, and qualifications. \n\n\nThe salary range for this position varies based on level, with the Senior Data Scientist band ranging from $115,000 - $140,000 and the Staff Data Scientist band ranging from $140,000 - $170,000, depending on prior work experience. These ranges represent the low and high end of the anticipated base salary range for this position.\n\n\nActual base salary will depend on numerous factors such as: total experience, applicable knowledge and relevant skills. Final salary will be commensurate with the candidate’s leveling upon offer.\n\n\nPlease see below for more information about Biobot, including our benefits overview, company background, and employment eligibility requirements. \n \nEmployment Eligibility\nWe are unable to sponsor work visas at this time. \nAdditionally, we are currently only accepting applicants from the states listed below. You will be asked to confirm your location in your application to help us determine your eligibility for this position. \nAlabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Louisiana, Massachusetts, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Hampshire, New York, New Jersey, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Virginia, Washington, Wisconsin\n\n\nOur Benefits\n\n\nHealth Coverage \nFree medical, dental, and vision insurance for employees and their families, including a $0 deductible medical plan. We want our employees to manage their health and that of their families without worrying about high premiums or deductibles.\n\n\nSelf Care\nUnlimited PTO with 3 week minimum. Whether it's playing MTG or D&D, singing on stage, camping, raising chickens, or anything else that inspires, we want our employees to unplug and explore their passions.\n\n\nBiobabies\n12 weeks parental leave at 100% pay. We love Biobabies and know that bonding with a new child is a critical need for employees and Biobabies alike.\n\n\nSavings\n3% Biobot 401k contribution. Regardless of whether our employees contribute, we contribute 3% of salaries into participating employees' 401k accounts because we want to support their long-term financial goals.\n\n\nWorkspace\nOnsite or at home, we ensure our employees' workspace is set up for success through generous home office stipend for remote employees, free parking or commuter benefits and on-site meals for lab employees.\n\n\n\n\nAbout Biobot \n\n\nAt Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.\n\n\nOur mission is to transform wastewater infrastructure into public health observatories. \n\n\nNamed as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.\n\n\nBattling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.\n \nPlease visit our website at www.biobot.io \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Video, Education, Cloud, Senior and Marketing jobs that are similar:\n\n $52,500 — $85,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nRemote

\nAbout Fluence: Fluence Energy, Inc. (Nasdaq: FLNC) is a global market leader in energy storage products and services, and optimization software for renewables and storage. With a presence in over 47 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider. Fluence is transforming the way we power our world by helping customers create more resilient and sustainable electric grids.\nFor more information, visit our website, or follow us on LinkedIn or Twitter. To stay up to date on the latest industry insights, sign up for Fluence's Full Potential Blog.\n \nOUR CULTURE AND VALUES\n\n\nWe are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.\n\n\nWe are Leading \nFluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day. \n\n\nWe are Responsible \nFluence is defined by its unwavering commitment to safety, quality, and integrity. \n\n\nWe are Agile \nWe achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.\n\n\nWe are Fun \nWe value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all. \n\n\nSr. Quality Assurance Engineer I (Infrastructure)\nLocation: India\n\n\nABOUT FLUENCE\nFluence, a Siemens and AES company, is the global market leader in energy storage technology solutions and services, combining the agility of a technology company with the expertise, vision, and financial backing of two well-established and respected industry giants. Building on the pioneering work of AES Energy Storage and Siemens energy storage, our goal is to create a more sustainable future by transforming the way we power our world. Providing design, delivery, and integration, Fluence offers proven energy storage technology solutions that address the diverse needs and challenges of customers in a rapidly transforming energy landscape. \nFluence currently has more than 2.4 gigawatts of projects in operation or awarded across 24 countries and territories worldwide. We topped the Navigant Research utility-scale energy storage leaderboard in 2018 and were named one of Fast Company’s Most Innovative Companies in 2019. In 2020, our sixth-generation Tech Stack won Commercial Technology of the Year at the 22nd annual S&P Global Platts Global Energy Awards.\nLeading \nDo others come to you for your subject matter expertise? Are you excited by the challenge of working in a start-up atmosphere with a purpose? \nThe Senior Quality Assurance Engineer I will perform as a member of a dynamic software engineering team developing the infrastructure necessary to support energy storage systems. This person will be responsible for ensuring the quality, reliability, and performance of our infrastructure components. The ideal candidate will have a strong background in QA methodologies, a deep understanding of infrastructure technologies, and the ability to collaborate with cross-functional teams.\nResponsible\nFluence is defined by its unwavering commitment to safety, quality, and integrity. We take personal ownership in what we do, developing trust in our relationships with internal and external stakeholders.  We firmly believe in having honest, forthcoming, and fair communications.\n\n\nThe Incumbent will have:\n•Bachelor's degree in Computer Science, Information Technology, or related field. \n•5+ years of experience in testing the configuration of the build infrastructure (primarily Linux).\n•5+ years of experience in programming languages such as Python and C/C++.\n•5+ years of experience with infrastructure as code (IaC) concepts and tools (e.g., Terraform, Ansible).\n•Experience with servers, networks, storage, and cloud services.\n•Experience in testing remote access VPN, site-to-site VPN, Cisco Routers, Cisco Firewalls, Cisco Switches, SD-WAN, Meraki.\n•Experience in infrastructure related testing methods such as vulnerability/reliability testing.\n•Experience in working closely with other team members/stakeholders to understand system requirements and design effective test strategies.\n•Ability to perform structured analysis on system architecture and security documentation.\n•Clear understanding and ability to create/review network diagrams.\n•Desire to participate, define, and adhere to best practices for testing and validation.\n•Perform validation testing and complete root cause analysis of possible failures in components, subsystems, and product-level systems.\n•Experience in developing test plans and procedures to assess adherence to requirements.\n•Have strong oral and written communication skills for communicating ideas to both managers and other technical leads.\n•Work with external suppliers certifications, test documents, and requirements are all up to date.\n•Ability to define problems, collect data, establish facts, draw valid conclusions, and provide solutions.\n\n\nAgile\nHere at Fluence, we strive to continuously improve, be intellectually curious and be adaptive to our customers and employee’s needs. Collaboration is key, both in our partnerships with our customers, and with each other. Fluence prioritizes the most critical efforts that allow for the greatest impact. \n•Provide team leadership and influence application vision. \n•Strong oral and written communication skills.\n•Able to work independently with little day to day guidance and achieve targets and goals.\n\n\nDESIRED SKILLS:\n•Experience with AWS, Openstack, Docker, and/or Github.\n•Experience with continuous integration, build management, and automated test frameworks.\n•Experience testing diverse COTS or Open Source Software.\n•Experience assessing existing products.\n\n\nFun\nWorking on transforming a fundamental part of our society is exciting and fulfilling. It requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed. We respect our coworkers and customers. We listen to what others have to say, and we are inclusive.\nGET IN TOUCH\nApply Here\nFluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.\n\n\n\n\n\nFluence IS AN EQUAL OPPORTUNITY EMPLOYER and fully subscribes to the principles of Equal Employment Opportunity to ensure that all applicants and employees are considered for hire, promotion, and job status without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, marital or familial status.  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, Python, Testing, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nBangalore, India