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Cambridge, Massachusetts, Company Overview: Goldfinch is a biotechnology company that is singularly focused on discovering and developing precision therapies for patients with kidney disease. Goldfinch has built the  Kidney Genome Atlas TM  (KGA), a comprehensive patient registry comprising a combination of genomic data, including whole genome and exome sequences, bulk and single-cell RNA sequences, and epigenetic and clinical patient profiles alongside a human biology platform that is harnessing advances in stem cell science to develop and apply human organoid models.  We are building on recent breakthroughs in genetics and human biology to generate an unparalleled understanding of the biological pathways that drive kidney disease. Goldfinch Bio is uniquely positioned to translate these discoveries into new therapies that target the molecular causes for diseases of the kidney and bring new therapeutics to a severely underserved patient population. The Role: We are looking for a highly collaborative and entrepreneurial Statistical Geneticist/Computational Genome Scientist to play a central role in the continued development of the Kidney Genome Atlas (KGA) and the analysis of KGA data to drive the discovery of novel drug targets, genomic and phenotypic biomarkers for patient stratification, and insights into the underlying molecular mechanisms of disease.  This role will join an interdisciplinary team of geneticists, bioinformaticians, computational biologists, and software engineers working in a pioneering and collaborative environment. They will be responsible for designing and implementing robust analysis plans, building analysis workflows/pipelines, developing statistical and computational methods and performing analyses on large scale integrating data sets, and interpreting the data to help develop therapeutic hypotheses for new kidney disease treatments. Job Responsibilities Include: Researching, adapting, and implementing cutting edge statistical genetics approaches for analyses and interpretation of large scale proprietary and publicly available genomic data. Data processing and conducting QC on large scale Next Generation Sequencing datasets. Developing and documenting statistical and computational genomics analysis plans using the newest methods and pipelines to interrogate whole-exome and whole-genome sequence data in combination with other genomic and phenotypic data with the KGA to enable the identification of causal genetic determinants of disease Conducting robust statistical and computational genomics analyses, for common and rare variants, genome-wide epigenetic association studies, and integrative genomic studies that incorporate sequence and expression data, analysis of RNAseq data for calculating eQTLs and differential gene expression Fine mapping and locus dissection to assist in target identification, including leveraging public and proprietary genomic functional annotations and implementation of Bayesian methods for constructing credible sets of variants Interpretation and communication of key findings as they relate to the goals of Goldfinch Bio’s drug discovery and development strategies Providing statistical genetic and analytical insights contributing to the design of additional population based genomic studies for the continued development of the KGA Curation of new public (eg UKBB) and proprietary genomic data as it is added to the KGA (e.g. ChIPseq, histone marks), including rigorous examination of batch effects Providing genetics and genomics insight into target identification, nomination, and validation packages in collaboration with wet lab biologists and clinical scientists to leverage genetic findings in the design of functional validation and clinical trials. Qualifications/Experience: Ph.D. in Statistical Genetics, Computational Biology, Human Genetics, Bioinformatics, Genetic Epidemiology, Statistics or related. Post-Doctoral training a plus. Demonstrated ability to analyze next generation sequencing data, with a particular focus on whole genome and/or whole exome sequencing data and variant imputation Proficiency in Python, R and Linux is required; experience with Hail is preferred Experience in analysis of epigenetic data: ATAC-seq, single – cell ATAC-seq, ChIP-seq, HI-seq, visualization of binding/epigenetic loci an advantage Proven ability to work independently and in a team environment Excellent written and verbal communication skills and the ability to clearly articulate and explain complicated results to a senior leadership/BoD-level audience Track record of peer-reviewed publications in top-tier scientific journals. Strong drive with a desire to make an impact on kidney disease   Preferred Experience in addition to the above: Experience with Genome Analysis Toolkit (GATK) and/or similar variant calling pipelines Experience operating in a cloud platform (Preferably AWS) Experience with version control, electronic notebooks (Jupyter or other) Experience using containerization technologies (Docker or other) for reproducible research Experience working with controlled access data from public repositories, such as a dbGaP and the UK BioBank Experience with Mendelian Randomization and/or multi-phenotype analyses a plus Experience operating in a large-scale, distributed computing environment

Irvine, California, The Staff Engineer for World Wide Engineering - Molding is a technical role supporting manufacturing sites by ensuring that injection molded parts used in commercial environment are robust, harmonized & scalable utilizing best practice in part design, development, technologies, process capable, validated per design control and compliant with Regulatory requirements.  This role is responsible for plastic part design and development with involvement in injection mold tooling and injection molding processes including design for manufacturability, MoldFlow analysis and production release at suppliers.  In addition, this role is part of a cross-functional team that is responsible for supporting sourcing strategies including supplier recommendation, evaluation and development.  This position reports directly to the Senior Manager, Molding Engineering and resides in the Irvine location.  Essential job functions: Provide supporting to Engineering, Manufacturing and R&D in plastics engineering, injection mold design/construction and injection mold processing.  Apply technical knowledge to innovate, design, develop processes, define requirements, establish procedures and implement tooling in support of thermoplastic injection molding and silicone liquid injection molding (LIM). Lead Design for Manufacturability (DFM) input during product development phases including plastic part design and mold design & construction. Support thermoplastic and silicone processing and tooling troubleshooting, and drive problem solving with suppliers. Manage the implementation of new injection molds at suppliers.  Drive process optimization and capability using scientific injection molding principles including process improvement opportunities and innovation on commercial products.  Project management from feasibility through implementation including charter & scope, detailed plan, defined schedule, risks mitigation, progress report and cost management.  Escalate project risks to management, as required.  In addition, plans, organizes, and conducts all aspects of technical reviews. Supports IQ/OQ/PQ efforts within Edwards and at suppliers.  Ensures proper documentation is completed to meet quality systems requirements. (e.g., Design Reviews, Component Drawings, FMEA’s, Manufacturing Procedures, BOM’s, Routers, etc.). Ability to travel approximately 20%: domestic and international. Perform other duties and responsibilities as assigned. Required Qualifications: A Bachelor's degree in engineering. Minimum of six (6) years of experience in providing technical engineering support in a regulated industry. Demonstrated track record in executing large scale projects. On-site required.  Preferred Qualifications: Advanced degree is desirable, preferably in Plastics. Medical device manufacturing experience. Technical knowledge and leadership in the area of plastics engineering, plastic part design, injection mold design & construction and injection molding process. Strong expertise with ProE/Creo and SolidWorks solid modeling CAD and MoldFlow simulation software. Phase gate product development expertise with plastic components including DFM expertise. Hands-on experience in the area injection molding and injection mold construction. Supplier relationship building, development and project support. Problem-solving, analytical and critical thinking skills including high discretion/judgment in decision making. Knowledge of technical manufacturing operations preferably in medical devices and process excellence methodologies such as Six Sigma, and FDA regulations, cGMP, ISO standards and EH&S guidelines. Proven successful project management skills. Ability to manage competing priorities in a fast-paced environment. Excellent documentation, communication and interpersonal skills.  Ability to translate complex and technical information to all levels of the organization. Innovative and strong execution skills with a demonstrated ability to deliver on short- and long-term strategic goals. Proven expertise in IT platforms, preferably Microsoft Office Suite and manufacturing systems (e.g., PLM, Windchill, Ignite).

Sunnyvale, California, SVCE will be hiring two candidates. Once placement will be at either Power Analyst, Associate Power Analyst or Senior Power Analyst level, depending on the candidate’s qualifications. The second appointment will be at the Principal Power Analyst level.   Power Analyst/Associate Power Analyst/Senior Power Analyst will provide analytical support towards efforts related to the origination of all resources to meet load obligations including: carbon-free energy, renewable portfolio standard resource, resource adequacy products, storage resources and energy hedge products.  The Power Analyst may also support integrated resource planning, rate development, custom product offerings for large customers, load analytics and forecasting, scheduling coordination, supplier contract management, settlements and compliance.   The Principal Power Analyst, working with other departments, will be the lead analyst responsible for integrating a robust data platform and developing an analytical infrastructure in support long-term integrated resource planning, origination and acquisition of resources, risk management and asset and portfolio optimization.  The Principal Power Analyst will direct the work of other analysts, vendors and consultants and will be expected to work independently on a number of complex strategic, administrative and analytical projects throughout the organization.  The ideal Power Analyst  candidate will possess experience with energy data analytics, power project valuations, decision analysis and standard energy modeling and simulation software packages and an understanding of wholesale energy market and trading concepts .  At the Principal level, candidates should also have working knowledge of portfolio optimization and production cost modeling software (e.g., Plexos, PowerSimm, SERVM, cQuant etc); integrated resource planning in the context of meeting California GHG reductions goals; and experience with storage resources, power trading and risk management and a thorough understanding of California’s energy market and regulatory requirements. Education: All levels require a Bachelor’s Degree from an accredited university or college in science, technology, engineering, mathematics, business, environmental science, or a related, quantitative field. A Master’s Degree in the aforementioned fields can substitute for up to one year of the required experience. A Doctoral Degree in the aforementioned fields can substitute for up to three years of the required experience. Experience: For the Power Analyst level, a minimum of 4 years of progressively responsible experience as an analyst at an electric utility, regulatory agency, energy supplier or developer, cleantech company, or similar organization and a minimum of 8 years for the Principal Power Analyst level.   COMPENSATION Power Analyst/Associate/Senior: Annual salary ranging from $96,641 - $144,489 with placement dependent on qualifications. Principal Power Analyst: Annual salary ranging from $120,952 - $190,067 with placement dependent on qualifications.   Submit a cover letter, resume, three references and a completed SVCE application to hr@svcleanenergy.org by the end of the day on Monday November 16, 2020. For more information regarding the recruitment and a the SVCE application, go to: http://www.svcleanenergy.org/jobs ?Individual, family and domestic partner health insurance ?Monthly Fitness benefit (ex: stipend for gym or exercise classes) ?Retirement and Employer Matching Contributions ?Health Reimbursement Account stipend ?Flexible Spending Account stipend (ex: transit, health, dependent care) ?Paid Vacation

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.

INFORMS Journal on Computing, Ahead of Print.