Ephla Bio is looking for a bioinformatician to turn biological and experimental data into insights that guide therapeutic development. Build reproducible analysis pipelines, interpret complex datasets, and apply statistical methods to target prioritization.
Locations (3)
Toronto, Ontario, Canada
San Francisco Bay Area, California, United States
New York, New York, United States
Responsibilities
Build and validate workflows from tumor/normal sequencing (WES/WGS, RNA-seq) through QC, somatic variant calling, VAF and clonality analysis (truncal vs. subclonal, adjusted for purity and copy number), HLA typing, expression quantification, and reporting.
Analyze HTS data and other large-scale screens. Integrate them with public datasets (e.g. immunopeptidomics) and turn patterns into testable hypotheses.
Assess assay quality, batch effects, and biological variability. Benchmark methods, validate findings against independent datasets or experimental results, and communicate uncertainty early.
Combine assay results, sequence annotations, and relevant biological evidence to rank candidates and explain the rationale for experimental follow-up.
Design experiments with lab scientists (scale, controls, data priorities), turn predictions into testable candidates, and feed results into the next round.
Lead and own the entire technical stack, including Shopify store, internal AI tools, mobile app, infrastructure, and security, while managing a small team of developers and designers.
Compensation
Very competitive, set with the person. We would rather hear your expectation than anchor you with a number.
Responsibilities
Own and maintain the Shopify store, apps, and checkout integrations
Implement and manage A/B testing and site changes
Take over, harden, and build AI-assisted internal tools
Scope, develop, and launch iOS and Android mobile apps
Build simple but useful datasets on robotics companies, components, deployments, revenue exposure, and market size.
Identify public companies that may benefit from robotics growth, including suppliers, manufacturers, software companies, semiconductor vendors, and industrial automation businesses.
Read filings, earnings transcripts, investor decks, technical papers, patents, product materials, and industry commentary.
We are looking for a healthcare analyst to deepen our coverage of the sector, owning original research across segments like biopharma, medtech, diagnostics, and services.
Locations (2)
New York, New York, United States
United States
Responsibilities
Conduct primary and secondary research on healthcare themes, companies, technologies, and supply chains
Identify emerging healthcare themes early and translate them into investable ideas and baskets
Build and maintain financial models, valuation work, market-sizing analyses, and industry databases
Analyze clinical data, regulatory filings (FDA, EMA), earnings reports, patents, and pipeline disclosures to identify catalysts and risks
Write long-form thematic reports and shorter data-driven notes for subscribers
The role will develop and use innovative techniques and tools for remote sensing applications, including image chain modeling, computer vision, and 3D remote sensing.
Locations (2)
Chantilly, Virginia, United States
Dayton, Ohio, United States
Compensation
(Min - Max) $181,700.00 - $272,500.00
Responsibilities
Develop and use innovative techniques and tools for applications including image chain modeling, spectroscopy, computer vision, change detection and tracking, space domain awareness, lidar and 3D remote sensing, EO/IR remote sensing, product quality metrics, optics, calibration, and data simulation
Design, perform, document, and present results of studies using deterministic and probabilistic numerical analysis techniques
Advise government and internal Aerospace customers on operational and R&D remote sensing system performance
Present and promote your work to contractors and customers to inform and influence key decisions and drive system requirements
Develop AI-based MRI reconstruction algorithms, optimize performance, and bring clinical features from research to product.
Compensation
The base salary range for this role is EUR 50,750.00 - EUR 79,750.00. This role is eligible for 3% short term incentive with your rewards linked to both individual performance and company results.
Responsibilities
Innovate, specify, prototype, engineer, test, and document MR reconstruction algorithms.
Bring clinical MR features from the research stage through advanced development into products.
Extend existing Philips MR software with emphasis on clinical functionality and usability.
Maintain relationships with clinical sites and other teams within Philips.
Contribute to conferences and file patent disclosures.
Requirements
Master’s or PhD degree in Mathematics or a related field