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ADVANCE SOFTWARE ENGINEERING

Building a diverse future, one placement at a time

We aim to build exceptional teams in the tech space, focusing on two core engineering specialisms: Advanced Software Engineering and AI, ML, & Data Engineering.

 

As a multi-award-winning global staffing specialist, we offer both permanent and contract recruitment solutions and are dedicated to nurturing the tech community. Starting out as the leading niche staffing experts in Scala eight years ago, we've expanded our expertise to support clients and candidates in building tech teams across a wider range of specialisms. 

 

From our offices in LA, Austin, and London, we support Fortune 100 Companies, as well as startups in their hiring journey. 

 

Certified as a minority-owned business by MSDUK, we are dedicated to diversifying and evolving the tech industry.

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Latest
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SCM Data Engineer
Location
Atlanta, Georgia, United States
Salary
$170,000 - $180,000 - Per Annum
Job Title: SCM Data Engineer Job Type: Permanent Salary: $170,000 + discretionary bonus Role Location: Atlanta, GA (Hybrid, in office 2 days per week) Visa Requirements: No visa sponsorship provided. The Company: Our client is a well-established boutique Supply Chain Management (SCM) software consulting firm headquartered in Atlanta, Georgia, renowned for their bespoke approach to transforming supply chain operations. For over a decade, they’ve empowered clients in industries like manufacturing, healthcare, and logistics with tailored data-driven solutions that optimize efficiency, reduce costs, and enhance scalability. Their team of dedicated professionals leverages cutting-edge technologies, including AI, cloud platforms, and advanced analytics, to deliver measurable ROI, such as 25%+ cost savings and 30%+ process improvements. Join their collaborative, client-centric firm in Atlanta’s vibrant tech hub to drive innovation in supply chain excellence. Role and Responsibilities: As a SCM Data Engineer, you’ll play a pivotal role in designing and implementing data pipelines and analytics solutions to optimize supply chain operations for their clients. Collaborating with cross-functional teams of data scientists, SCM consultants, and software engineers, you’ll leverage platforms like Snowflake to deliver scalable, high-impact solutions. Your expertise will drive the integration of data workflows, ensuring seamless performance for clients in manufacturing, healthcare, and logistics. Key responsibilities include: Designing and building robust ETL pipelines to process and transform large-scale supply chain data, utilizing Snowflake native apps for advanced analytics. Developing and optimizing data workflows to support real-time supply chain insights, such as demand forecasting and inventory optimization, achieving 20%+ efficiency gains. Collaborating with clients to identify data requirements, align solutions with business objectives, and deliver actionable insights through dashboards and visualizations. Integrating SCM platforms with cloud ecosystems (e.g., AWS, Azure, Snowflake) to enhance data accessibility and scalability. Troubleshooting and resolving data pipeline issues, ensuring data quality and reliability for high-throughput environments. Mentoring junior engineers and contributing to best practices, fostering a culture of innovation and technical excellence. Staying current on SCM and data engineering trends, incorporating emerging technologies (e.g., AI-driven analytics, graph databases) into client solutions. Job Requirements: Education and Experience: Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field, with 5+ years of experience in data engineering or SCM software solutions. Required Qualifications: Proven expertise in designing and implementing ETL pipelines for supply chain or enterprise data, with at least 6 months of hands-on experience using Snowflake native apps. Strong proficiency in programming languages such as Python (e.g., pandas, numpy), SQL, and scripting for data processing and automation. Experience integrating SCM platforms with cloud ecosystems (e.g., AWS, Azure, Snowflake) and building scalable data solutions. Solid understanding of supply chain processes (e.g., demand forecasting, inventory management, logistics optimization). Familiarity with data visualization tools (e.g., Tableau, Power BI) to create actionable dashboards for clients. Strong problem-solving skills to address data quality issues and optimize pipeline performance in high-throughput environments. Excellent communication skills to collaborate with clients and cross-functional teams, translating technical solutions into business value. Preferred Qualifications: Experience with SCM platforms (e.g., SAP, Blue Yonder, Manhattan Associates) or RPA tools (e.g., UiPath, Automation Anywhere). Knowledge of AI-driven analytics or machine learning for supply chain applications (e.g., predictive demand modeling). Certifications in Snowflake (e.g., SnowPro Core), AWS, or Azure. Familiarity with Agile methodologies (Scrum, Kanban) for project delivery. Benefits: Competitive Compensation: Base salary up to $170,000, plus performance-based incentives Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health support. Generous Time Off: 4 weeks paid time off + 10 paid holidays to support work-life balance. Retirement and Wellness: 401(k) with matching, plus wellness programs and gym membership. Impactful Work: Drive transformative supply chain solutions, contributing to client outcomes like 25% cost savings and 30% efficiency gains. Innovative Environment: Work with cutting-edge tools (e.g., Snowflake, AWS, Tableau) in Atlanta’s dynamic tech ecosystem. Supportive Culture: Thrive in a boutique, client-centric firm that values collaboration, innovation, and professional growth in a hybrid work model. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here  
Lead Enterprise Solutions Engineer
Location
Los Angeles, California, United States
Salary
$220,000 - $250,000 - Per Annum
Job Title: Lead Enterprise Solutions Engineer Job Type: Permanent Salary: $220,000–$250,000 OTE Role Location: Los Angeles, CA Visa Requirements: No sponsorship provided. The Company: Our client is an emerging nationwide technology leader headquartered in Atlanta, Georgia, dedicated to transforming public safety and security through an AI-driven platform that empowers communities—cities, businesses, schools, and law enforcement—to create safer environments. Their intelligent, full-service solution, trusted nationwide, combines cutting-edge hardware, software, and analytics to deliver actionable evidence that solves and deters crime. In 2024, they empowered thousands of clients, from innovative startups to major agencies, to make data-driven decisions without compromising transparency or privacy. With over $700M in venture capital from top-tier investors and a valuation exceeding $7.5B, they are scaling rapidly to reduce US crime by 25% in three years. Join their passionate, inclusive team to make a career-defining impact. Role and Responsibilities: As an Enterprise Solutions Engineer, you’ll be a trusted advisor embedded in the deal cycle, guiding clients from discovery to sign-off to maximize the value of their AI-driven platform. Partnering with Enterprise Account Executives, you’ll craft tailored solutions that address customer pain points, drive operational impact, and deliver measurable ROI for law enforcement and commercial organizations. Your key responsibilities include: Leading discovery sessions to uncover customer requirements, success metrics, and process gaps in public safety and security workflows. Delivering compelling in-person and virtual demonstrations, aligning platform capabilities (hardware, software, AI) with client priorities. Designing scalable deployment strategies that integrate our platform with existing systems, ensuring seamless adoption. Drafting Statements of Work (SOWs) and Proof of Concept (POC) plans to drive successful implementations. Articulating our platform’s competitive differentiators to position its unique advantages in crime prevention and loss mitigation. Guiding clients through final sign-off, securing buy-in by showcasing measurable outcomes, such as 30% faster investigative workflows. Contributing to internal playbooks and training to scale solution engineering impact across the organization. Job Requirements: Education and Experience: Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, with 4+ years of sales engineering or technology sales experience. Required Qualifications: Proven track record leading technical discovery sessions, tailoring demos, and aligning solutions to customer objectives in high-stakes environments. Strong ability to connect platform capabilities (SaaS, hardware, AI, integrations) to solve specific pain points and deliver measurable value. Exceptional presentation and communication skills to deliver compelling demos and influence stakeholders at all levels. Experience partnering with Account Executives to accelerate deal cycles, including drafting SOWs, POCs, and responding to RFPs/RFIs. Solid understanding of SaaS platforms, with the ability to design scalable deployment strategies. Strong problem-solving skills to translate complex technical capabilities into practical solutions for public safety and commercial clients. Preferred Qualifications: Experience with real-time video, physical security systems, or Video Management Systems (VMS). Knowledge of public safety, security, or commercial loss prevention, with familiarity in crime mapping or mapping tools. Certifications in relevant technologies (e.g., AWS, Azure, UiPath) or sales methodologies. Benefits: Competitive Compensation: $220,000–$250,000 OTE, Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health support. Generous Time Off: 4 weeks paid time off + 10 paid holidays to ensure work-life balance. Retirement and Wellness: 401(k) with matching, plus wellness programs and gym membership. Impactful Work: Drive transformative outcomes in public safety, helping reduce crime by 25% over three years. Innovative Environment: Work with cutting-edge AI, hardware, and SaaS technologies, collaborating with top-tier clients and teams. Supportive Culture: Thrive in a results-oriented, inclusive environment that fosters strong remote relationships and rewards action. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here  
Lead Bioinformatics Scientist
Location
Redwood City, San Francisco, California, United States
Salary
$180,000 - $200,000 - Per Annum
Job Advert: Lead Bioinformatics Scientist Job Title: Lead Bioinformatics Scientist Job Type: Permanent Salary: $180,000–$200,000 USD per year + bonus Role Location: San Francisco, CA (hybrid role) Visa Requirements: No sponsorship provided. The Company: Our client is an emerging leader within biotechnology, headquartered in the vibrant tech hub of San Francisco, California. Their mission is to empower scientists worldwide by accelerating biotech research through innovative DNA sequencing and analysis tools. Every day, thousands of innovators—including Nobel Prize winners, biotech startups, and research labs—rely on their solutions to drive world-changing discoveries in healthcare, sustainability, and beyond. In 2024, they saved researchers 2 million hours, transforming their productivity. Join their dynamic, collaborative team to shape the future of science. Role and Responsibilities: As the Lead Bioinformatics Scientist, you’ll lead the charge in building cutting-edge bioinformatics workflows that power faster, smarter science. Collaborating with a passionate team of scientists, bioinformaticians, and software engineers, you’ll drive innovation and mentor others in a creative, high-impact environment. Your key responsibilities include: Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments. Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions. Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs. Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights. Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration. Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients. Job Requirements: Education and Experience: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 8+ years of experience developing production-level bioinformatics pipelines. Required Qualifications: Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools. Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments. Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing. Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda). Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows. Expertise in Git/GitHub and Linux shell scripting for version control and automation. Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit). Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing. Strong communication skills and ability to write clean, maintainable, production-ready code. Preferred Qualifications: Experience with compiled languages (C++, Rust) for performant software development. 1+ year of molecular biology wet lab experience. Demonstrated ability to develop novel bioinformatics algorithms. Strong interest in creating intuitive data visualizations for scientific insights. Benefits: Competitive Compensation: Highly competitive remuneration. Generous Time Off: 4 weeks paid time off + 10 paid holidays. Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage. Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership. Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability. Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers. Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here  
Chief Finance Officer
Location
London, London, United Kingdom
Salary
£150,000-£250,000 - Per Annum
Job title: Chief Finance Officer - AI Robotics Start-up Job type: Permanent Salary: Negotiable  Role Location: London, Paddington (Onsite role) - Open to candidates outside of the UK who are happy to travel. The company: An ambitious, well-funded AI robotics company is looking for a Chief Finance Officer (CFO) to lead its go-to-market efforts. Backed by a top-tier technical team (ex-Arrival, Boston Dynamics, Apple, and others), the company is building one of the world’s most advanced robot systems designed to transform labor intensive industries at scale. Role and responsibilities: Define and lead the company’s financial strategy in alignment with long-term growth goals. Act as a key partner to the CEO and executive team, providing financial insights to support major decisions. Own budgeting, forecasting, cash flow management, and financial modelling. Implement best-in-class financial processes, systems, and internal controls. Oversee financial reporting and compliance with IFRS and relevant international regulations. Lead future fundraising efforts and manage relationships with venture capital firms, strategic investors, and financial institutions. Prepare the business for IPO or other liquidity events. Provide oversight of investor relations, corporate governance, and capital allocation. Job requirements: Strong fundraising experience in ABCD rounds of 200M+ Proven experience as CFO or senior finance leader within a high-growth tech, deep tech, or multi-vertical company. Strong understanding of IFRS, corporate finance, and financial operations in fast-scaling environments. Previous leadership of multiple funding rounds and exposure to US and European capital markets. Strong VC/investor network, particularly in the US. Benefits: High competitive salary. 23 working days of vacation per year. Flexible working hours. Private Healthcare & Pension Opportunity to work on the latest technologies in AI and Robotics Startup model, offering a dynamic and innovative work environment     Accessibility Statement:   Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day.? Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here
Data Scientist
Location
Athens, Athens, Greece
Salary
€60000-80000 - Per Annum
Job Title: Data Scientist (Production ML Focus) Location: Greece (Remote from Greece or Hybrid Options Available) Experience Level: Mid-Senior (4+ Years) Employment Type: Full-Time About the Role My client are highly skilled Data Scientist with a strong background in deploying machine learning models to production environments. You will play a key role in developing, validating, and operationalizing data science solutions that directly impact our products and business strategy. This position is ideal for someone who thrives at the intersection of data science and engineering, and is passionate about building scalable, reliable, and impactful ML systems.   Key Responsibilities Design, build, and deploy machine learning models and pipelines into production environments Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products Monitor and maintain deployed models, ensuring performance and accuracy over time Conduct exploratory data analysis, feature engineering, and model evaluation Translate business problems into analytical solutions and communicate results to non-technical stakeholders Drive best practices for model lifecycle management, including versioning, monitoring, and retraining Stay current with developments in machine learning and MLOps Required Qualifications 4+ years of experience as a Data Scientist or Machine Learning Engineer Proven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar) Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Solid understanding of data pipelines, APIs, and CI/CD practices Experience with cloud platform Proficient in SQL and working with large-scale datasets Excellent problem-solving, communication, and collaboration skills
Data Scientist Portugal
Location
Lisbon, Lisbon, Portugal
Salary
€60000-80000 - Per Annum
Job Title: Data Scientist (Production ML Focus) Location: Portugal (Remote from Portugal or Hybrid Options Available) Experience Level: Mid-Senior (4+ Years) Employment Type: Full-Time About the Role My client are highly skilled Data Scientist with a strong background in deploying machine learning models to production environments. You will play a key role in developing, validating, and operationalizing data science solutions that directly impact our products and business strategy. This position is ideal for someone who thrives at the intersection of data science and engineering, and is passionate about building scalable, reliable, and impactful ML systems.   Key Responsibilities Design, build, and deploy machine learning models and pipelines into production environments Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products Monitor and maintain deployed models, ensuring performance and accuracy over time Conduct exploratory data analysis, feature engineering, and model evaluation Translate business problems into analytical solutions and communicate results to non-technical stakeholders Drive best practices for model lifecycle management, including versioning, monitoring, and retraining Stay current with developments in machine learning and MLOps Required Qualifications 4+ years of experience as a Data Scientist or Machine Learning Engineer Proven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar) Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Solid understanding of data pipelines, APIs, and CI/CD practices Experience with cloud platform Proficient in SQL and working with large-scale datasets Excellent problem-solving, communication, and collaboration skills Job Title: Data Scientist (Production ML Focus) Location: Portugal (Remote from Portugal or Hybrid Options Available) Experience Level: Mid-Senior (4+ Years) Employment Type: Full-Time About the Role My client are highly skilled Data Scientist with a strong background in deploying machine learning models to production environments. You will play a key role in developing, validating, and operationalizing data science solutions that directly impact our products and business strategy. This position is ideal for someone who thrives at the intersection of data science and engineering, and is passionate about building scalable, reliable, and impactful ML systems.   Key Responsibilities Design, build, and deploy machine learning models and pipelines into production environments Collaborate with product managers, data engineers, and software engineers to integrate ML solutions into products Monitor and maintain deployed models, ensuring performance and accuracy over time Conduct exploratory data analysis, feature engineering, and model evaluation Translate business problems into analytical solutions and communicate results to non-technical stakeholders Drive best practices for model lifecycle management, including versioning, monitoring, and retraining Stay current with developments in machine learning and MLOps Required Qualifications 4+ years of experience as a Data Scientist or Machine Learning Engineer Proven experience deploying ML models into production using Docker, Kubernetes, MLflow, or similar) Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Solid understanding of data pipelines, APIs, and CI/CD practices Experience with cloud platform Proficient in SQL and working with large-scale datasets Excellent problem-solving, communication, and collaboration skills
Principal Tech Lead AI Software / Sprint Planning / Python
Location
Palo Alto, CA, United States
Salary
$250,000 - 300,000 - Per Annum
Job Title: Tech Lead Manager, AI Software Salary: $250K - $300K + Equity Location: Hybrid in the Bay Area, CA A well-funded mid-stage startup in the GenAI space is hiring a hands-on Tech Lead Manager to guide their client-facing product engineering efforts, focusing on LLMs. Recognized as a leader in their space and trusted by startups and Fortune 500 companies, this is an excellent role to create significant impact within the AI space. In this role, you’ll lead a cross-functional pod of software engineers/designers focused on delivering scalable product features. You’ll drive projects from planning through production and serve as a technical mentor. You’ll spend about 30% of your time coding in Python, contributing to scalable backend systems and APIs, while the rest is split between sprint planning, project execution, and technical mentorship. You’ll work closely with product and design, ensuring high-quality delivery and deadline execution. The ideal candidate has 8+ years of engineering experience, strong sprint management skills, and a background in AI or LLM-based applications. Experience with distributed systems and SaaS environments is a must. Requirements 8+ years of software engineering experience with recent leadership or tech lead responsibilities Proven success leading sprint cycles and managing technical execution across a pod or team Strong Python development skills and experience with distributed systems and APIs Experience building SaaS products and working in a fast-paced startup environment Familiarity with generative AI, LLMs, and AI application development Excellent communication skills and ability to mentor across backend and frontend contexts Deep ownership mindset with a focus on scalability, reliability, and impact Benefits Equity Health, Dental, and Vision Insurance Unlimited PTO and Paid Parental Leave 401(k) Free Lunches Collaborative and fast-moving team environment Accessibility Statement Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.
Product Manager
Location
Irving, USA, United States
A fast-moving product team is looking for a Contract Product Manager to take ownership of third-party system integrations within a growing B2B marketplace platform. This role will focus on stabilizing existing MVP integrations with scheduling systems and helping define a scalable approach to future integrations. The ideal candidate is technically fluent, comfortable working across engineering, sales, and external vendor teams, and has experience delivering enterprise-grade integrations involving APIs and data flow dependencies. What You’ll Do Own the roadmap and delivery of external system integrations (scheduling, partner APIs, etc.) Collaborate with engineering to deliver iterative improvements to current MVP integrations Translate business needs into actionable technical product requirements Serve as the primary point of contact for external vendors and internal stakeholders Lead cross-functional conversations to drive alignment across sales, product, engineering, and partner teams Shape long-term integration strategy and contribute to tooling and frameworks for scalable integration infrastructure What We’re Looking For 3–5+ years of product management experience, ideally within enterprise SaaS or B2B marketplaces Strong familiarity with system-to-system integrations, APIs, data dependencies, and ecosystem architecture Proven ability to work with cross-functional teams, including engineers and external technical stakeholders Experience managing delivery of complex features where product success depends on both internal execution and third-party alignment Comfortable operating in a fast-paced, ambiguous environment where priorities evolve quickly Nice to Have Background in scheduling, workforce platforms, or B2B transactional systems Experience interfacing with sales or business development teams on technical partnerships Familiarity with integration platforms (e.g., Workato, MuleSoft, Zapier) or building internal tooling for integrations
Lead Applied Scientist
Location
USA - Remote, United States
Salary
$250,000 - 350,000 - Per Annum
Job Title: Lead Applied Scientist Salary: $250k - $350k + Equity Location: USA - Fully Remote Responsibilities: Lead efforts to pretrain the next generation of large-scale multimodal models across image, video, audio, and text modalities Design and implement scalable training pipelines and novel architectures that improve performance and usability in creative applications Collaborate with cross-functional teams to bring research breakthroughs into user-facing tools Guide the research direction and mentor junior researchers and engineers Contribute to a collaborative, fast-paced environment focused on innovation in generative AI Requirements: 6+ years of experience in ML engineering or applied research, particularly in large-scale model development Strong programming skills with a focus on clean, maintainable research code Experience with human-in-the-loop systems and interactive ML tools Demonstrated ability to drive projects from initial research to real-world implementation Proven mentorship experience and ability to foster collaborative research culture Excellent communication, documentation, and cross-team collaboration skills Benefits: Fully Covered Medical, Dental, and Vision Insurance Paid Time Off Parental Leave Free Lunches Team Building Events Collaborative Team environment If you are interested in learning more about this position or any other roles we may have open, please apply today! Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

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