Valo Health's Posts (11)

2024-10-22

Associate Scientist, Cell Culture TechNew

About Us Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us? What You’ll Do… What You Bring... More on Valo Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA. Valo also has offices in New York, NY. To learn more, visit www.valohealth.com. - Work as part of a multifunctional team that include experts in biology, in vitro pharmacology, and ADME - Generate and maintain cell lines using aseptic techniques to support the cell biology and ADME efforts of our drug discovery programs. You will expand, maintain, and plate a diverse number of mammalian cell lines at any given time (including adherent/suspension immortalized cells, primary cells, stable cell lines, etc.). - Perform DNA/RNA transfections and viral transductions in a BSL-2 facility to establish in vitro cell models - Characterize the cell lines you generate, utilizing common techniques such as DNA/RNA isolation, PCR, qRT-PCR, siRNA knockdown, western blot/protein analysis, immunocytochemistry, ELISA, and cell viability/cytotoxicity assays - Optimize the maintenance conditions of a cell line (such as media selection, passages, freeze-thaws, gene knockdown efficiency, protein-of-interest expression levels, etc.) to enable the highest quality data of downstream applications - Keep detailed electronic records of both your work and the cellular stocks in liquid nitrogen - Adhere to safety regulations and good laboratory practices - At least a bachelor’s degree in a scientific discipline with 6+ years of relevant laboratory experience - Demonstrated experience in all steps of cell line generation, from initial genome modifications and clonal selections to cellular characterization and scale up - Proficiency using machines common in these workflows, such as a multidrop Combi, Apricot, Echo, thermocycler, cell counter, fluorescence microscope, and plate reader systems - Experience working with many types of mammalian cell lines (experience with iPSCs and iPSC differentiation is a plus) - Experience with CRISPR-Cas9 workflows, co-culture, organoids, or isolation of primary cells (including hepatocytes) is a plus - Strong written and oral communication skills and a demonstrated ability to convey information to program team members of varying backgrounds - Strong time management skills, with the ability to balance experiments for multiple programs and stakeholders - Ability to troubleshoot, think critically and independently, with excellent attention to detail

Location: Lexington, Massachusetts, United States

Salary range: None - None

2024-10-22

Staff Machine Learning Data Scientist in Epidemiology and Patient Data Products

About Us Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us? About the Role As aStaff Machine Learning Data Scientist in Epidemiology and Patient Data Products,you will be a core member on a team of data scientists building a powerful computational platform for advancing the discovery and development of new medicines. In this role, you will develop machine learning tools for patient data and expand their uptake across teams, under the guidance of epidemiology and biology program leads. Successful candidates will work with a diverse set of scientists and domain experts, in ways that cut across traditional industry boundaries in an innovative startup environment. What You'll Do... What You Bring... Nice to have... More on Valo Valo Health, Inc (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative disease. Founded by Flagship Pioneering and headquartered in Boston, MA, Valo also has offices in Lexington, MA, and New York. To learn more, visitwww.valohealth.com - As a senior member of our team, you will lead knowledge translation machine learning models and predictions of patient data with diverse stakeholders. For example, integrate clinical insights into unsupervised cluster results and generate patient profiles. - Perform hands-on analysis and modeling of highly dimensional longitudinal patient data, spanning electronic medical records, sequencing, and multi-omics, using R and Python in cloud environments. - Contribute to the design, implementation, and evaluation of innovative machine learning approaches of patient data to provide novel clinical insights. - Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers. - Use your technical knowledge and intuition to articulate and break down large problems into solvable pieces. There are a lot of problems to solve; you’ll need to prioritize which of these are critical path today from those that can wait. - Be a dynamic and active team member, championing and adopting shared coding standards, participating in code review, and providing regular updates of your work and input into the work of your colleagues. - MPH, MS with 5+ years or PhD in health sciences, biostatistics, or a quantitative field with 3+ years of work-related experienceapplying epidemiological, statistical, and/or machine learning methods to real-world datasets. - Must have 3+ years of experiencedeveloping and implementing machine learning in health care databases including electronic health records, administrative claims databases, and/or patient registries. Familiarity with medical coding ontologies and data models in US and globally (ICD, ATC, LOINC, SNOMED, CPT, HCPCS, etc.). - Extensive experience developing and maintaining machine learning pipelines and translating machine learning output into meaningful insights for diverse audiences. - Confident in executing broad machine learning approaches, including random forest, logistic regression, dimensionality reduction, clustering, metrics, model selection, feature selection, and machine learning model explain ability. - Proficient in Python (3+ years required) and experience with machine learning, deep learning, and data science packages (e.g., scikit-learn, pytorch, statsmodels, scipy, MLlib). - Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams. - Ability to lead and facilitate meetings and work collaboratively on multi-disciplinary project teams. - Exceptional time management, ability to prioritize multiple tasks simultaneously, and deliver products on time every time. - Enthusiastic about documentation–ensuring that all analyses are clear and reproducible with thorough documentation of key assumptions and decision points. - Advanced knowledge of biostatistics approaches, including inferential and predictive modeling. Experience in causal approaches for observational studies, including propensity score methods, bias adjustment, and covariate selection and adjustment is a plus. - Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus. - Familiarity with integrated clinico–omics datasets (including sequencing, genomics, proteomics, etc.) is a plus.

Location: Remote

Salary range: None - None

2024-10-22

Senior/Principal Associate Scientist, Compound Management

About Us Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us? About the Role Valo Health is seeking a talented and highly motivated scientist with significant expertise in compound management to join the Drug Discovery group at our Lexington, MA research center. The successful candidate will play an important role in advancing the drug discovery pipeline and have a passionate desire to progress new medicines for patients while working in an innovative and fast-paced small company environment. What You'll Do... What You Bring... Nice to have... More on Valo Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visitwww.valohealth.com. - Manage compound management workflows including compound registration, weighing of compounds, compound stock solution reformatting, curate compound inventories, liquid-liquid plate transfers, and archive storage. - Work closely with cross-functional chemistry, ADME, pharmacology, and biology teams to coordinate compound management activities to delivery of assay-ready plates in support of rapid optimization cycles. - Maintain consumable supplies to ensure uninterrupted operations of workflows. - Interface with CROs and vendors for external compound inventories, purchasable compound orders, and shipments. - Manage instrument vendor relationships, continuously advancing and integrating novel workflows, and assist in troubleshooting the automation and software platforms. - Keep abreast of contemporary compound management practices and provide business case arguments to adopt new technologies. - 2-3 years of compound management experience with Bachelor’s degree in scientific discipline (chemistry or biology-based). - Minimum of 2-3 years of laboratory experience (if only compound management experience) - Ability to work independently and cross-functionally with team members in chemistry, ADME, and in vitro pharmacology. - Exceptional organization skills and detail orientated approach to planning and executing at the bench. - Documented sustained performance and demonstrated technical proficiency, scientific creativity, independent thought, and ability to effectively collaborate with others, add to project strategy & deliverables and participate in decision-making. - Excellent written and verbal communication skills. - Additional years of experience (6+ years of total post BS-years of experience) - Extensive experience in operating and troubleshooting compound management automation platforms, liquid handling, and periphery devices (i.e., tube sorting, 2D barcode scanning) is highly desired. - Liquid handling scripting, automated workflow scheduling and software programming are major pluses.

Location: Lexington, Massachusetts, United States

Salary range: None - None

2024-10-22

Scientist I, Cell BiologistNew

About Us Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us? What You’ll Do… Support drug discovery programs by developing disease-relevant cell culture models for use in downstream applications. The ideal candidate will bring their experience in cardiovascular, renal, and/or obesity biology to bear in support of various drug discovery programs. They will also exhibit a strong ability to work independently and within a matrixed team environment. All experiments will be documented in an electronic notebook, with data presented in routine informal or formal meetings. Essential Duties And Responsibilities What You Bring... - Develop disease-relevant cell culture models for use in downstream applications in collaboration with in vitro pharmacology colleagues - Conduct mechanism of action studies to elucidate target biology - Identify and characterize target engagement biomarkers - Leverage external service providers to supplement workstreams - BS (10+years experience), MS (6+ years experience), PhD degree (2 years experience) in cell biology, pharmacology, biotechnology or a related discipline - Experience with advanced biochemical, molecular, and cellular biology techniques such as CRISPR, iPSC, lentivirus, immunofluorescence, qRT-PCR, RNAi, western blot/protein analysis, ELISA, and cell viability/cytotoxicity assays. - Ability to work independently and as a cross-functional team-player i.e., able to achieve results as an individual and with/through colleagues. - Skilled at multi-tasking, prioritizing, and handling multiple projects at once. - Capable to adapt to dynamic working conditions. - Strong verbal and written communication skills. - Proficiency with Microsoft Office, Excel, PowerPoint, GraphPad Prism

Location: Lexington, Massachusetts, United States

Salary range: None - None

2024-10-22

Staff Research Lead in Epidemiology and Patient Data Products

About Us Valo Health is a technology company that is integrating human-centric data and AI-powered technology to accelerate the creation of life-changing drugs for more patients faster. Valo was created with the belief that the drug discovery and development process can and should be faster and less expensive, with a much higher probability of success. We are using models early to fail less often, executing clinical trials to add valuation to the company, and generating fit-for-purpose data to feed back into Valo’s Opal Computational Platform™ as we reinvent drug discovery and development from the ground up. Disease doesn’t wait, so neither can we. We are a multi-disciplinary team of experts in science, technology, and pharmaceuticals united in our mission to achieve better drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We achieve the widest-ranging impact when we leverage our broad backgrounds and perspectives to accelerate a new frontier in health. Valo seeks to become the catalyst for the pharmaceutical industry and drive the digital transformation of the industry. Are you ready to join us? About the Role As aStaff Research Lead in Epidemiology and Patient Data Products, you will be a core member of our innovative team and will contribute to groundbreaking research that is revolutionizing drug discovery. Our innovative platform leverages advanced computational techniques to accelerate the development of new medicines. You will have the opportunity to work with a diverse team of experts (data scientists, epidemiologists, and clinicians) and collaborate on challenging problems that have the potential to make a significant impact on global health. What You'll Do... Thissenior role will lead research projects from planning to execution, including real-world data studies(e.g., electronic medical records) for projects in drug discovery and development. As a senior member of our team, you will translate research questions into observational study designs, implement project plans, and leverage your medical domain knowledge to create deliverables that showcase patient-centric insights from statistical models to diverse audiences. Examples include interpreting machine learning results into patient profiles. Be a project leader, use agile software tools (e.g., Jira boards) to manage complex projects and timelines on cross-functional matrix teams. Use your technical knowledge and intuition to break down large projects into solvable pieces. Collaborate with epidemiology and biology program leads to define project scope, establish timelines, and allocate resources. Problem-solve, collaborate, and embed stakeholder and client input into project planning; prioritize tasks that yield maximum impact. Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers. Work with a diverse array of data spanning electronic medical records, sequencing, multi-omics data, and other data modalities using R and Python in cloud environments. Be an active team member, championing and adopting shared analytic and coding standards, and providing regular What You Bring... MPH, MS with 5+ years or PhD in epidemiology or biostatistics with 3+ years of work-related experienceapplying epidemiological, statistical, and/or machine learning methods to real-world datasets. Must have 3+ years of experience leading and executing real world studies. This experience may come from an investigator or lab/researcher manager role for population health/patient data studies. Robust statistical analytic skills, applicable to cohort/longitudinal and case control studies of health care databases including electronic health records, administrative claims databases, and/or patient registries. Clear communication and confidence in your ability to use agile software tools (e.g., Jira boards) to implement project plans and manage timelines (e.g., Gantt charts) used by multiple teams. Experience leading epidemiologic projects from end-to-end: from translating research questions into observational study designs, contrasting strengths and weaknesses of different study designs and statistical approaches, and generating patient-centric insights from statistical models. Must have experience conducting data manipulation and statistical analysis in Python and/or R programming languages. Experience being an externally facing project leader, leading meetings, and soliciting input from clients, and keeping relevant stakeholders in the loop to ensure alignment throughout project lifecycle. Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams. Nice to have... More on Valo Valo Health, LLC (“Valo”) is a technology company built to transform the drug discovery and development process using human-centric data and artificial intelligence-driven computation. As a digitally native company, Valo aims to fully integrate human-centric data across the entire drug development life cycle into a single unified architecture, thereby accelerating the discovery and development of life-changing drugs while simultaneously reducing costs, time, and failure rates. The company’s Opal Computational Platform™ is an integrated set of capabilities designed to transform data into valuable insights that may accelerate discoveries and enable Valo to advance a robust pipeline of programs across cardiovascular metabolic renal, oncology, and neurodegenerative diseases. Founded by Flagship Pioneering and headquartered in Lexington, MA, Valo also has offices in New York, NY. To learn more, visitwww.valohealth.com. - Thissenior role will lead research projects from planning to execution, including real-world data studies(e.g., electronic medical records) for projects in drug discovery and development. - As a senior member of our team, you will translate research questions into observational study designs, implement project plans, and leverage your medical domain knowledge to create deliverables that showcase patient-centric insights from statistical models to diverse audiences. Examples include interpreting machine learning results into patient profiles. - Be a project leader, use agile software tools (e.g., Jira boards) to manage complex projects and timelines on cross-functional matrix teams. Use your technical knowledge and intuition to break down large projects into solvable pieces. - Collaborate with epidemiology and biology program leads to define project scope, establish timelines, and allocate resources. - Problem-solve, collaborate, and embed stakeholder and client input into project planning; prioritize tasks that yield maximum impact. - Be comfortable with scientific uncertainty and embrace curiosity and creative solutions. Many of the challenges we’re trying to address don’t have known solutions or clear processes to arrive at answers. - Work with a diverse array of data spanning electronic medical records, sequencing, multi-omics data, and other data modalities using R and Python in cloud environments. - Be an active team member, championing and adopting shared analytic and coding standards, and providing regular - MPH, MS with 5+ years or PhD in epidemiology or biostatistics with 3+ years of work-related experienceapplying epidemiological, statistical, and/or machine learning methods to real-world datasets. - Must have 3+ years of experience leading and executing real world studies. This experience may come from an investigator or lab/researcher manager role for population health/patient data studies. - Robust statistical analytic skills, applicable to cohort/longitudinal and case control studies of health care databases including electronic health records, administrative claims databases, and/or patient registries. - Clear communication and confidence in your ability to use agile software tools (e.g., Jira boards) to implement project plans and manage timelines (e.g., Gantt charts) used by multiple teams. - Experience leading epidemiologic projects from end-to-end: from translating research questions into observational study designs, contrasting strengths and weaknesses of different study designs and statistical approaches, and generating patient-centric insights from statistical models. - Must have experience conducting data manipulation and statistical analysis in Python and/or R programming languages. - Experience being an externally facing project leader, leading meetings, and soliciting input from clients, and keeping relevant stakeholders in the loop to ensure alignment throughout project lifecycle. - Comfortable working in ambiguous problem spaces; experience working in a start-up or agile work environment as part of cross-functional project teams. - Experience submitting ethics/IRB approvals, and grant writing and administration are a plus. - Familiarity with or exposure to traditional drug discovery and development processes and approaches is a plus. - Familiarity with integrated clinico–omics datasets (including sequencing, genomics, proteomics, etc.) is a plus. - Advanced knowledge in biostatistics approaches, including inferential and predictive modeling, and comfortable implementing unsupervised machine learning algorithms in real world health care databases. - Technical project management experience on cross-functional teams is a plus.

Location: Remote

Salary range: None - None

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