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Health Data Architect, Lead

The Opportunity:  

For an organization to transform in today’s digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We’re looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for the nations public health.  

As a data architect on our team focused on federal health agency clients, you will play a critical role in designing and implementing the overall data architecture for the clients’ data ecosystems, ensuring that it meets the current and future needs of the government agency and its stakeholders. You’ll have a deep understanding of data modeling, data integration, and data management best practices, as well as expertise in designing scalable, secure, and performant data architectures for cloud-based environments. You will have the ability to analyze complex data requirements and design effective and efficient data architectures to meet those requirements, while collaborating closely with stakeholders.

Join us. The world can’t wait. 

You Have:

• 10+ years of experience with leading business process assessment, reengineering, or architectural development

• 7+ years of experience with cloud-based data platforms

• Experience with enterprise data warehouse solutions, including design, modeling, implementation, security and system administration

• Knowledge of data modeling, data integration, and designing scalable data architectures

• Knowledge of AWS cloud services, cloud architecture best practices, big data technologies and ETL processes within the AWS ecosystem

• Knowledge of SQL with scripting languages, such as Python or Scala

• Knowledge of AI/ML platforms and data requirements to facilitate the development of AI/ML models

• Ability to implement data governance and security policies, including customer-managed keys and VPCs

• Public Trust

• Bachelor’s degree in Computer Science, Data Science, or Information Technology

Nice If You Have:

• Experience with advanced data transformations using PySpark APIs

• Experience with management across AWS environments using Terraform

• Knowledge of Delta Lake

• Knowledge of platform administration on AWS, particularly with Databricks deployments

• Knowledge of Python in implementing classes and working within Databricks notebooks

• Ability to manipulate data in Delta Lake tables with SQL

• Ability to articulate complex data architecture topics with technical and non-technical audiences

• AWS Certified Solutions Architect or Databricks Certified Data Engineer Associate Certifications

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required.

  

Create Your Career: 

Grow With Us 

Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like upskilling programs, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms.  

A Place Where You Belong 

Diverse perspectives cultivate collective ingenuity. Booz Allen’s culture of respect, equity, and opportunity means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. 

Support Your Well-Being 

Our comprehensive benefits package includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home.  

Your Candidate Journey 

At Booz Allen, we know our people are what propel us forward, and we value relationships most of all. Here, we’ve compiled a list of resources so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us.  

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

   

Associate Manager – Business Intelligence

Department – Commercial Analytics, GBS

 

Location: Bangalore

 

Job level: 7

 

Are you looking for a challenging role where you can support strategic development and drive continuous improvements? Are you ready to take on operational responsibility and manage tasks within our Commercial Analytics team? If you are passionate about delivering high-quality service and making a difference, then this Associate Manager position at Novo Nordisk is the perfect opportunity for you. Read on and apply today for a life-changing career.

 

About the department

The Commercial Analytics team is part of Finance Global Business Services (GBS) at Novo Nordisk in Bangalore. Established in 2007, Finance GBS is responsible for supporting various finance functions globally. The Commercial Analytics team, founded in 2013, aims to provide dedicated analytics professionals to deliver best-in-class services and insights to the global organization. Our team is committed to delivering superior service, standardization, and efficiency.

As an Associate Manager at Novo Nordisk, you will have the following responsibilities:

• Support the strategic development of Commercial Analytics services within the unit. Take operational responsibility and manage tasks within the GBS CA.
• Operational responsibility and Management task within GBS CA.
• Drive continuous improvements on supported business processes to comply with the CA Strategy.
• Ensure a high level of service, quality, efficiency, effectiveness, and end-user friendliness.
• Optimize processes and increase productivity. Collaborate with stakeholders to develop process competences and solutions.
• Manage contracts, service level agreements, and addendums. Create awareness about department capabilities and manage team growth.
• Drive team performance to ensure customer satisfaction. Ensure onboarding and relevant training of new employees in the department.

To be successful in this role, we are looking for a candidate with the following qualifications:

• Master’s degree in a relevant field.
• Proven experience in operational management and process improvement.
• Strong organizational and leadership skills.
• Excellent communication and interpersonal skills.
• Ability to collaborate with stakeholders at all levels.
• Knowledge of health and safety requirements. Proficient in Microsoft Office Suite.
• Experience in finance or analytics is a plus.

Novo Nordisk is a leading global healthcare company with a 100-year legacy of driving change to defeat serious chronic diseases. Building on our strong legacy within diabetes, we are growing massively and expanding our commitment, reaching millions around the world and impacting more than 40 million patient lives daily. All of this has made us one of the 20 most valuable companies in the world by market cap. Our success relies on the joint potential and collaboration of our more than 63,000 employees around the world. We recognize the importance of the unique skills and perspectives our people bring to the table, and we work continuously to bring out the best in them. Working at Novo Nordisk, we’re working toward something bigger than ourselves, and it’s a collective effort. Join us! Together, we go further. Together, we’re life changing.

 

Contact

To submit your application, please upload your CV online (click on Apply and follow the instructions).

Apply Now!

 

Deadline

4th June 2024.

 

 

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. 

 

At Novo Nordisk we recognize that it is no longer good enough to aspire to be the best company in the world. We need to aspire to be the best company for the world and we know that this is only possible with talented employees with diverse perspectives, backgrounds and cultures. We are therefore committed to creating an inclusive culture that celebrates the diversity of our employees, the patients we serve and communities we operate in. Together, we’re life changing.

 

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.

About the team:

Klaviyo operates a real-time data analytics platform coded primarily in Python that is built for massive scale and hosted on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

At Klaviyo, we love tackling tough engineering problems and look for employees who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies, and work hard to ensure each day is better than the last. Learn more about our engineering culture at https://klaviyo.tech

About the role:

The Senior Machine Learning Engineer will help build foundational models at Klaviyo that extract insights from the massive streams of data that Klaviyo ingests continuously. You will work with teammates including data scientists to apply cutting edge techniques from deep learning, language modeling, recommender systems, and more to generate value for our customers by allowing them to target and personalize their messages. You have capable software engineering skills and are familiar with the entire ML lifecycle from inception to production. 

You use and promote best practices to ensure high software code quality and machine learning performance. You have experience in machine learning, and have already trained and developed models in the recommender, NLP, or related areas. You are determined, motivated, and ready to overcome new challenges to build the best solutions.

This role is based in Boston, MA and requires a weekly hybrid in-office component. 

How you’ll have an impact:

30 days 

• You will have finished on-boarding including engineering and data science specific on-boarding.
• Your local developer environment is set up and usable.
• You will have met multiple members of the Data Science team and are familiarizing yourself with both the Klaviyo product and the relevant data sources available to you.

60 days 

• You will understand what’s needed to tackle your initial project including the data needed, the success metrics, the technical approach, the experiments needed to test performance in production, etc. 
• You are able to pull data and train and test models in Klaviyo’s ML development environment. 
• You are actively contributing code and providing valuable feedback to teammates and peers through RFC reviews, code reviews, etc.

90 days

• You will be actively iterating on models for your first project.
• You will be actively working with teammates to identify obstacles and gaps in our systems and scoping work to address these in partnership with relevant stakeholder teams.

Up to 1 year 

• You will have developed multiple impactful models that use Klaviyo’s data, which you have put into production and are generating value in novel and powerful ways for our customers.

What we’re looking for:

• 5+ years experience in machine learning or data science
• Experience in at least one of NLP or recommender systems.
• Experience working with models trained on massive datasets.
• Experience putting models into production, as well as monitoring and maintaining them in the long term
• Experience writing code to high software engineering standards, following best practices such as test-driven development, code review
• Experience working with databases, REST interfaces, and other modern SaaS development patterns
• Experience mentoring team members in technical areas.

Nice to have:

• Experience with frameworks such as Huggingface, PyTorch, Tensorflow, Keras
• Experience with distributed training with Spark, Ray, etc.
• Experience working with customers directly

#LI-Onsite      #LI-CB2

The pay range for this role is listed below. Sales roles are also eligible for variable compensation and hourly non-exempt roles are eligible for overtime in accordance with applicable law. This role is eligible for benefits, including: medical, dental and vision coverage, health savings accounts, flexible spending accounts, 401(k), flexible paid time off and company-paid holidays and a culture of learning that includes a learning allowance and access to a professional coaching service for all employees.

Base Pay Range For US Locations:$156,800—$235,200 USD

Get to Know Klaviyo

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.

Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.

IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. 

You can find our Job Applicant Privacy Notice here.

Job Advertisement

Leibniz-HKI-16/2024

The Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) investigates the pathobiology of human-pathogenic fungi and identifies targets for the development of novel natural product-based antibiotics. The research group of Applied Systems Biology invites talented and highly gifted candidates to apply as

Doctoral Researcher (m/f/div)

in Automated Processing of Bioimages

for three years initially with the prospect of prolongation.

Research areas: automated image processing, machine learning, artificial intelligence, etc.

In the research group Applied Systems Biology a position for a postdoctoral researcher becomes available. The position is associated with aspects of the Image-based Systems Biology approach. This modern computational approach comprises the automated analysis of microscopy and/or spectroscopy data based on state-of-the-art methods from machine learning as well as the computer simulation of mathematical models using advanced modeling approaches. We are seeking highly motivated candidates that are interested to work on image processing in experiment-driven interdisciplinary studies.

Candidate’s profile:

• Master’s degree in computer science, bioinformatics, physics, or a related discipline
• Strong interest in biological systems and an educational background in biology is preferred
• Experience in automated analysis of image data
• Very good programming skills
• Ability to perform team-oriented as well as independent work
• Good communication skills in English are a must

We offer:

The successful candidate will be hosted in the research group Applied Systems Biology of Prof. Dr. Marc Thilo Figge. The Leibniz-HKI is embedded in the outstanding scientific environment of the Beutenberg Campus providing state-of-the-art research facilities and a highly integrative network of life science groups. We offer a multifaceted scientific project with excellent technical facilities, a place in a dynamic, committed team, as well as strong scientific collaborations.

Salary is paid according to German TV-L (salary agreement for public service employees).

Further information:
Prof. Dr. Marc Thilo Figge | +49 3641 532-1416 |

ca****@le*********.de

Applications:

Leibniz-HKI is proud to be an equal opportunity employer and promote diversity and inclusion in the workplace. It aims to increase the proportion of underrepresented groups in case of equal suitability. All qualified persons, regardless of race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other classification protected by law will receive consideration for employment.

Complete applications in English should include a cover letter, a CV containing a complete list of publications, a brief statement of research experiences and the addresses of two possible referees and should be submitted via the Leibniz-HKI online application system. The deadline for the advertisement is July 15, 2024, but applications will be reviewed on a rolling basis.

Leibniz Institute for Natural Product Research and Infection Biology

Adolf-Reichwein-Straße 23 | 07745 Jena